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authorJorge E. Moreira <jemoreira@google.com>2020-07-09 15:17:15 +0000
committerAutomerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>2020-07-09 15:17:15 +0000
commitf7dd50f6503c57d445e678c509b989ea825ae1db (patch)
tree634acb66126553f683ad3abacd49aa4e63c5e990
parente3f2bc5c19b94f992c5b98f73c0618f721426d23 (diff)
parent1654b9d6653d3c34d753e2911a6fc9c04dac933a (diff)
downloadrnnoise-f7dd50f6503c57d445e678c509b989ea825ae1db.tar.gz
Merge remote-tracking branch 'aosp/upstream-master' am: 0bd76d957c am: 8f7d2e1166 am: f88d51ab47 am: 1654b9d665
Original change: https://android-review.googlesource.com/c/platform/external/rnnoise/+/1354027 Change-Id: Iab48cee23379297cd12055d19d998279cb6cab0e
-rw-r--r--AUTHORS1
-rw-r--r--COPYING31
-rw-r--r--Makefile.am130
-rw-r--r--README17
-rw-r--r--TRAINING11
-rwxr-xr-xautogen.sh10
-rw-r--r--configure.ac129
-rw-r--r--doc/Doxyfile.in18
-rw-r--r--examples/rnnoise_demo.c60
-rw-r--r--include/rnnoise.h65
-rw-r--r--m4/attributes.m4321
-rw-r--r--rnnoise-uninstalled.pc.in13
-rw-r--r--rnnoise.pc.in14
-rw-r--r--src/_kiss_fft_guts.h182
-rw-r--r--src/arch.h261
-rw-r--r--src/celt_lpc.c279
-rw-r--r--src/celt_lpc.h59
-rw-r--r--src/common.h48
-rwxr-xr-xsrc/compile.sh3
-rw-r--r--src/denoise.c642
-rw-r--r--src/kiss_fft.c601
-rw-r--r--src/kiss_fft.h203
-rw-r--r--src/opus_types.h159
-rw-r--r--src/pitch.c526
-rw-r--r--src/pitch.h149
-rw-r--r--src/rnn.c178
-rw-r--r--src/rnn.h69
-rw-r--r--src/rnn_data.c11051
-rw-r--r--src/rnn_data.h34
-rw-r--r--src/rnn_reader.c168
-rwxr-xr-xsrc/rnn_train.py66
-rw-r--r--src/tansig_table.h45
-rwxr-xr-xtraining/bin2hdf5.py13
-rwxr-xr-xtraining/dump_rnn.py107
-rwxr-xr-xtraining/rnn_train.py116
-rwxr-xr-xupdate_version65
36 files changed, 15844 insertions, 0 deletions
diff --git a/AUTHORS b/AUTHORS
new file mode 100644
index 0000000..7cd8b9b
--- /dev/null
+++ b/AUTHORS
@@ -0,0 +1 @@
+Jean-Marc Valin <jmvalin@jmvalin.ca>
diff --git a/COPYING b/COPYING
new file mode 100644
index 0000000..01ea4b1
--- /dev/null
+++ b/COPYING
@@ -0,0 +1,31 @@
+Copyright (c) 2017, Mozilla
+Copyright (c) 2007-2017, Jean-Marc Valin
+Copyright (c) 2005-2017, Xiph.Org Foundation
+Copyright (c) 2003-2004, Mark Borgerding
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions
+are met:
+
+- Redistributions of source code must retain the above copyright
+notice, this list of conditions and the following disclaimer.
+
+- Redistributions in binary form must reproduce the above copyright
+notice, this list of conditions and the following disclaimer in the
+documentation and/or other materials provided with the distribution.
+
+- Neither the name of the Xiph.Org Foundation nor the names of its
+contributors may be used to endorse or promote products derived from
+this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION
+OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
+LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
+DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
+THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/Makefile.am b/Makefile.am
new file mode 100644
index 0000000..735d17a
--- /dev/null
+++ b/Makefile.am
@@ -0,0 +1,130 @@
+ACLOCAL_AMFLAGS = -I m4
+
+AM_CFLAGS = -I$(top_srcdir)/include $(DEPS_CFLAGS)
+
+dist_doc_DATA = COPYING AUTHORS README
+
+include_HEADERS = include/rnnoise.h
+
+lib_LTLIBRARIES = librnnoise.la
+noinst_HEADERS = src/arch.h \
+ src/celt_lpc.h \
+ src/common.h \
+ src/_kiss_fft_guts.h \
+ src/kiss_fft.h \
+ src/opus_types.h \
+ src/pitch.h \
+ src/rnn_data.h \
+ src/rnn.h \
+ src/tansig_table.h
+
+librnnoise_la_SOURCES = \
+ src/denoise.c \
+ src/rnn.c \
+ src/rnn_data.c \
+ src/rnn_reader.c \
+ src/pitch.c \
+ src/kiss_fft.c \
+ src/celt_lpc.c
+
+librnnoise_la_LIBADD = $(DEPS_LIBS) $(lrintf_lib) $(LIBM)
+librnnoise_la_LDFLAGS = -no-undefined \
+ -version-info @OP_LT_CURRENT@:@OP_LT_REVISION@:@OP_LT_AGE@
+
+if OP_ENABLE_EXAMPLES
+noinst_PROGRAMS = examples/rnnoise_demo
+endif
+
+examples_rnnoise_demo_SOURCES = examples/rnnoise_demo.c
+examples_rnnoise_demo_LDADD = librnnoise.la
+
+pkgconfigdir = $(libdir)/pkgconfig
+pkgconfig_DATA = rnnoise.pc
+
+debug:
+ $(MAKE) CFLAGS="${CFLAGS} -O0 -ggdb -DOP_ENABLE_ASSERTIONS" all
+
+EXTRA_DIST = \
+ rnnoise.pc.in \
+ rnnoise-uninstalled.pc.in \
+ doc/Doxyfile.in \
+ doc/Makefile
+
+# Targets to build and install just the library without the docs
+librnnoise install-librnnoise: NO_DOXYGEN = 1
+
+rnnoise: all
+install-rnnoise: install
+
+# Or just the docs
+docs: doc/doxygen-build.stamp
+
+install-docs:
+ @if [ -z "$(NO_DOXYGEN)" ]; then \
+ ( cd doc && \
+ echo "Installing documentation in $(DESTDIR)$(docdir)"; \
+ $(INSTALL) -d $(DESTDIR)$(docdir)/html/search; \
+ for f in `find html -type f \! -name "installdox"` ; do \
+ $(INSTALL_DATA) $$f $(DESTDIR)$(docdir)/$$f; \
+ done ) \
+ fi
+
+doc/doxygen-build.stamp: doc/Doxyfile \
+ $(top_srcdir)/include/*.h
+ @[ -n "$(NO_DOXYGEN)" ] || ( cd doc && doxygen && touch $(@F) )
+
+
+if HAVE_DOXYGEN
+
+# Or everything (by default)
+all-local: docs
+
+install-data-local: install-docs
+
+clean-local:
+ $(RM) -r doc/html
+ $(RM) -r doc/latex
+ $(RM) doc/doxygen-build.stamp
+
+uninstall-local:
+ $(RM) -r $(DESTDIR)$(docdir)/html
+
+endif
+
+# We check this every time make is run, with configure.ac being touched to
+# trigger an update of the build system files if update_version changes the
+# current PACKAGE_VERSION (or if package_version was modified manually by a
+# user with either AUTO_UPDATE=no or no update_version script present - the
+# latter being the normal case for tarball releases).
+#
+# We can't just add the package_version file to CONFIGURE_DEPENDENCIES since
+# simply running autoconf will not actually regenerate configure for us when
+# the content of that file changes (due to autoconf dependency checking not
+# knowing about that without us creating yet another file for it to include).
+#
+# The MAKECMDGOALS check is a gnu-make'ism, but will degrade 'gracefully' for
+# makes that don't support it. The only loss of functionality is not forcing
+# an update of package_version for `make dist` if AUTO_UPDATE=no, but that is
+# unlikely to be a real problem for any real user.
+$(top_srcdir)/configure.ac: force
+ @case "$(MAKECMDGOALS)" in \
+ dist-hook) exit 0 ;; \
+ dist-* | dist | distcheck | distclean) _arg=release ;; \
+ esac; \
+ if ! $(top_srcdir)/update_version $$_arg 2> /dev/null; then \
+ if [ ! -e $(top_srcdir)/package_version ]; then \
+ echo 'PACKAGE_VERSION="unknown"' > $(top_srcdir)/package_version; \
+ fi; \
+ . $(top_srcdir)/package_version || exit 1; \
+ [ "$(PACKAGE_VERSION)" != "$$PACKAGE_VERSION" ] || exit 0; \
+ fi; \
+ touch $@
+
+force:
+
+# Create a minimal package_version file when make dist is run.
+dist-hook:
+ echo 'PACKAGE_VERSION="$(PACKAGE_VERSION)"' > $(top_distdir)/package_version
+
+
+.PHONY: rnnoise install-rnnoise docs install-docs
diff --git a/README b/README
new file mode 100644
index 0000000..88fc79c
--- /dev/null
+++ b/README
@@ -0,0 +1,17 @@
+RNNoise is a noise suppression library based on a recurrent neural network.
+
+To compile, just type:
+% ./autogen.sh
+% ./configure
+% make
+
+Optionally:
+% make install
+
+While it is meant to be used as a library, a simple command-line tool is
+provided as an example. It operates on RAW 16-bit (machine endian) mono
+PCM files sampled at 48 kHz. It can be used as:
+
+./examples/rnnoise_demo <number of channels> <maximum attenuation> < input.raw > output.raw
+
+The output is also a 16-bit raw PCM file.
diff --git a/TRAINING b/TRAINING
new file mode 100644
index 0000000..86c5a4e
--- /dev/null
+++ b/TRAINING
@@ -0,0 +1,11 @@
+(1) cd src ; ./compile.sh
+
+(2) ./denoise_training signal.raw noise.raw count > training.f32
+
+ (note the matrix size and replace 500000 87 below)
+
+(3) cd training ; ./bin2hdf5.py ../src/training.f32 500000 87 training.h5
+
+(4) ./rnn_train.py
+
+(5) ./dump_rnn.py weights.hdf5 ../src/rnn_data.c ../src/rnn_data.h
diff --git a/autogen.sh b/autogen.sh
new file mode 100755
index 0000000..9378677
--- /dev/null
+++ b/autogen.sh
@@ -0,0 +1,10 @@
+#!/bin/sh
+# Run this to set up the build system: configure, makefiles, etc.
+set -e
+
+srcdir=`dirname $0`
+test -n "$srcdir" && cd "$srcdir"
+
+echo "Updating build configuration files for rnnoise, please wait...."
+
+autoreconf -isf
diff --git a/configure.ac b/configure.ac
new file mode 100644
index 0000000..5ffc7c2
--- /dev/null
+++ b/configure.ac
@@ -0,0 +1,129 @@
+# autoconf source script for generating configure
+
+dnl The package_version file will be automatically synced to the git revision
+dnl by the update_version script when configured in the repository, but will
+dnl remain constant in tarball releases unless it is manually edited.
+m4_define([CURRENT_VERSION],
+ m4_esyscmd([ ./update_version 2>/dev/null || true
+ if test -e package_version; then
+ . ./package_version
+ printf "$PACKAGE_VERSION"
+ else
+ printf "unknown"
+ fi ]))
+
+AC_INIT([rnnoise],[CURRENT_VERSION],[jmvalin@jmvalin.ca])
+AC_CONFIG_SRCDIR([src/denoise.c])
+AC_CONFIG_MACRO_DIR([m4])
+
+AC_USE_SYSTEM_EXTENSIONS
+AC_SYS_LARGEFILE
+
+AM_INIT_AUTOMAKE([1.11 foreign no-define dist-zip subdir-objects])
+AM_MAINTAINER_MODE([enable])
+
+AC_C_INLINE
+
+LT_INIT
+
+m4_ifdef([AM_SILENT_RULES], [AM_SILENT_RULES([yes])])
+
+AC_DEFINE([RNNOISE_BUILD], [], [This is a build of the library])
+
+dnl Library versioning for libtool.
+dnl Please update these for releases.
+dnl CURRENT, REVISION, AGE
+dnl - library source changed -> increment REVISION
+dnl - interfaces added/removed/changed -> increment CURRENT, REVISION = 0
+dnl - interfaces added -> increment AGE
+dnl - interfaces removed -> AGE = 0
+
+OP_LT_CURRENT=4
+OP_LT_REVISION=1
+OP_LT_AGE=4
+
+AC_SUBST(OP_LT_CURRENT)
+AC_SUBST(OP_LT_REVISION)
+AC_SUBST(OP_LT_AGE)
+
+CC_CHECK_CFLAGS_APPEND(
+ [-pedantic -Wall -Wextra -Wno-sign-compare -Wno-parentheses -Wno-long-long])
+
+# Platform-specific tweaks
+case $host in
+ *-mingw*)
+ # -std=c89 causes some warnings under mingw.
+ CC_CHECK_CFLAGS_APPEND([-U__STRICT_ANSI__])
+ # We need WINNT>=0x501 (WindowsXP) for getaddrinfo/freeaddrinfo.
+ # It's okay to define this even when HTTP support is disabled, as it only
+ # affects header declarations, not linking (unless we actually use some
+ # XP-only functions).
+ AC_DEFINE_UNQUOTED(_WIN32_WINNT,0x501,
+ [We need at least WindowsXP for getaddrinfo/freeaddrinfo])
+ host_mingw=true
+ ;;
+esac
+AM_CONDITIONAL(OP_WIN32, test "$host_mingw" = "true")
+
+AC_ARG_ENABLE([assertions],
+ AS_HELP_STRING([--enable-assertions], [Enable assertions in code]),,
+ enable_assertions=no)
+
+AS_IF([test "$enable_assertions" = "yes"], [
+ AC_DEFINE([OP_ENABLE_ASSERTIONS], [1], [Enable assertions in code])
+])
+
+AC_ARG_ENABLE([examples],
+ AS_HELP_STRING([--disable-examples], [Do not build example applications]),,
+ enable_examples=yes)
+AM_CONDITIONAL([OP_ENABLE_EXAMPLES], [test "$enable_examples" = "yes"])
+
+AS_CASE(["$ac_cv_search_lrintf"],
+ ["no"],[],
+ ["none required"],[],
+ [lrintf_lib="$ac_cv_search_lrintf"])
+
+LT_LIB_M
+
+AC_SUBST([lrintf_lib])
+
+CC_ATTRIBUTE_VISIBILITY([default], [
+ CC_FLAG_VISIBILITY([CFLAGS="${CFLAGS} -fvisibility=hidden"])
+])
+
+dnl Check for doxygen
+AC_ARG_ENABLE([doc],
+ AS_HELP_STRING([--disable-doc], [Do not build API documentation]),,
+ [enable_doc=yes]
+)
+
+AS_IF([test "$enable_doc" = "yes"], [
+ AC_CHECK_PROG([HAVE_DOXYGEN], [doxygen], [yes], [no])
+ AC_CHECK_PROG([HAVE_DOT], [dot], [yes], [no])
+],[
+ HAVE_DOXYGEN=no
+])
+
+AM_CONDITIONAL([HAVE_DOXYGEN], [test "$HAVE_DOXYGEN" = "yes"])
+
+AC_CONFIG_FILES([
+ Makefile
+ rnnoise.pc
+ rnnoise-uninstalled.pc
+ doc/Doxyfile
+])
+AC_CONFIG_HEADERS([config.h])
+AC_OUTPUT
+
+AC_MSG_NOTICE([
+------------------------------------------------------------------------
+ $PACKAGE_NAME $PACKAGE_VERSION: Automatic configuration OK.
+
+ Assertions ................... ${enable_assertions}
+
+ Hidden visibility ............ ${cc_cv_flag_visibility}
+
+ API code examples ............ ${enable_examples}
+ API documentation ............ ${enable_doc}
+------------------------------------------------------------------------
+])
diff --git a/doc/Doxyfile.in b/doc/Doxyfile.in
new file mode 100644
index 0000000..b5438b3
--- /dev/null
+++ b/doc/Doxyfile.in
@@ -0,0 +1,18 @@
+# Process with doxygen to generate API documentation
+
+PROJECT_NAME = @PACKAGE_NAME@
+PROJECT_NUMBER = @PACKAGE_VERSION@
+PROJECT_BRIEF = "RNN-based noise suppressor."
+INPUT = @top_srcdir@/include/rnnoise.h
+OPTIMIZE_OUTPUT_FOR_C = YES
+
+QUIET = YES
+WARNINGS = YES
+WARN_IF_UNDOCUMENTED = YES
+WARN_IF_DOC_ERROR = YES
+WARN_NO_PARAMDOC = YES
+
+JAVADOC_AUTOBRIEF = YES
+SORT_MEMBER_DOCS = NO
+
+HAVE_DOT = @HAVE_DOT@
diff --git a/examples/rnnoise_demo.c b/examples/rnnoise_demo.c
new file mode 100644
index 0000000..83d0709
--- /dev/null
+++ b/examples/rnnoise_demo.c
@@ -0,0 +1,60 @@
+/* Copyright (c) 2018 Gregor Richards
+ * Copyright (c) 2017 Mozilla */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#include <stdio.h>
+#include "rnnoise.h"
+
+#define FRAME_SIZE 480
+
+int main(int argc, char **argv) {
+ int i;
+ int first = 1;
+ float x[FRAME_SIZE];
+ FILE *f1, *fout;
+ DenoiseState *st;
+ st = rnnoise_create(NULL);
+ if (argc!=3) {
+ fprintf(stderr, "usage: %s <noisy speech> <output denoised>\n", argv[0]);
+ return 1;
+ }
+ f1 = fopen(argv[1], "r");
+ fout = fopen(argv[2], "w");
+ while (1) {
+ short tmp[FRAME_SIZE];
+ fread(tmp, sizeof(short), FRAME_SIZE, f1);
+ if (feof(f1)) break;
+ for (i=0;i<FRAME_SIZE;i++) x[i] = tmp[i];
+ rnnoise_process_frame(st, x, x);
+ for (i=0;i<FRAME_SIZE;i++) tmp[i] = x[i];
+ if (!first) fwrite(tmp, sizeof(short), FRAME_SIZE, fout);
+ first = 0;
+ }
+ rnnoise_destroy(st);
+ fclose(f1);
+ fclose(fout);
+ return 0;
+}
diff --git a/include/rnnoise.h b/include/rnnoise.h
new file mode 100644
index 0000000..67f0b06
--- /dev/null
+++ b/include/rnnoise.h
@@ -0,0 +1,65 @@
+/* Copyright (c) 2018 Gregor Richards
+ * Copyright (c) 2017 Mozilla */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifndef RNNOISE_H
+#define RNNOISE_H 1
+
+#include <stdio.h>
+
+
+#ifndef RNNOISE_EXPORT
+# if defined(WIN32)
+# if defined(RNNOISE_BUILD) && defined(DLL_EXPORT)
+# define RNNOISE_EXPORT __declspec(dllexport)
+# else
+# define RNNOISE_EXPORT
+# endif
+# elif defined(__GNUC__) && defined(RNNOISE_BUILD)
+# define RNNOISE_EXPORT __attribute__ ((visibility ("default")))
+# else
+# define RNNOISE_EXPORT
+# endif
+#endif
+
+typedef struct DenoiseState DenoiseState;
+typedef struct RNNModel RNNModel;
+
+RNNOISE_EXPORT int rnnoise_get_size();
+
+RNNOISE_EXPORT int rnnoise_init(DenoiseState *st, RNNModel *model);
+
+RNNOISE_EXPORT DenoiseState *rnnoise_create(RNNModel *model);
+
+RNNOISE_EXPORT void rnnoise_destroy(DenoiseState *st);
+
+RNNOISE_EXPORT float rnnoise_process_frame(DenoiseState *st, float *out, const float *in);
+
+RNNOISE_EXPORT RNNModel *rnnoise_model_from_file(FILE *f);
+
+RNNOISE_EXPORT void rnnoise_model_free(RNNModel *model);
+
+#endif
diff --git a/m4/attributes.m4 b/m4/attributes.m4
new file mode 100644
index 0000000..ebc7347
--- /dev/null
+++ b/m4/attributes.m4
@@ -0,0 +1,321 @@
+dnl Macros to check the presence of generic (non-typed) symbols.
+dnl Copyright (c) 2006-2007 Diego Pettenò <flameeyes@gmail.com>
+dnl Copyright (c) 2006-2007 xine project
+dnl
+dnl This program is free software; you can redistribute it and/or modify
+dnl it under the terms of the GNU General Public License as published by
+dnl the Free Software Foundation; either version 2, or (at your option)
+dnl any later version.
+dnl
+dnl This program is distributed in the hope that it will be useful,
+dnl but WITHOUT ANY WARRANTY; without even the implied warranty of
+dnl MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+dnl GNU General Public License for more details.
+dnl
+dnl You should have received a copy of the GNU General Public License
+dnl along with this program; if not, write to the Free Software
+dnl Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA
+dnl 02110-1301, USA.
+dnl
+dnl As a special exception, the copyright owners of the
+dnl macro gives unlimited permission to copy, distribute and modify the
+dnl configure scripts that are the output of Autoconf when processing the
+dnl Macro. You need not follow the terms of the GNU General Public
+dnl License when using or distributing such scripts, even though portions
+dnl of the text of the Macro appear in them. The GNU General Public
+dnl License (GPL) does govern all other use of the material that
+dnl constitutes the Autoconf Macro.
+dnl
+dnl This special exception to the GPL applies to versions of the
+dnl Autoconf Macro released by this project. When you make and
+dnl distribute a modified version of the Autoconf Macro, you may extend
+dnl this special exception to the GPL to apply to your modified version as
+dnl well.
+
+dnl Check if the flag is supported by compiler
+dnl CC_CHECK_CFLAGS_SILENT([FLAG], [ACTION-IF-FOUND],[ACTION-IF-NOT-FOUND])
+
+AC_DEFUN([CC_CHECK_CFLAGS_SILENT], [
+ AC_CACHE_VAL(AS_TR_SH([cc_cv_cflags_$1]),
+ [ac_save_CFLAGS="$CFLAGS"
+ CFLAGS="$CFLAGS $1"
+ AC_LINK_IFELSE([AC_LANG_SOURCE([int main() { return 0; }])],
+ [eval "AS_TR_SH([cc_cv_cflags_$1])='yes'"],
+ [eval "AS_TR_SH([cc_cv_cflags_$1])='no'"])
+ CFLAGS="$ac_save_CFLAGS"
+ ])
+
+ AS_IF([eval test x$]AS_TR_SH([cc_cv_cflags_$1])[ = xyes],
+ [$2], [$3])
+])
+
+dnl Check if the flag is supported by compiler (cacheable)
+dnl CC_CHECK_CFLAGS([FLAG], [ACTION-IF-FOUND],[ACTION-IF-NOT-FOUND])
+
+AC_DEFUN([CC_CHECK_CFLAGS], [
+ AC_CACHE_CHECK([if $CC supports $1 flag],
+ AS_TR_SH([cc_cv_cflags_$1]),
+ CC_CHECK_CFLAGS_SILENT([$1]) dnl Don't execute actions here!
+ )
+
+ AS_IF([eval test x$]AS_TR_SH([cc_cv_cflags_$1])[ = xyes],
+ [$2], [$3])
+])
+
+dnl CC_CHECK_CFLAG_APPEND(FLAG, [action-if-found], [action-if-not-found])
+dnl Check for CFLAG and appends them to CFLAGS if supported
+AC_DEFUN([CC_CHECK_CFLAG_APPEND], [
+ AC_CACHE_CHECK([if $CC supports $1 flag],
+ AS_TR_SH([cc_cv_cflags_$1]),
+ CC_CHECK_CFLAGS_SILENT([$1]) dnl Don't execute actions here!
+ )
+
+ AS_IF([eval test x$]AS_TR_SH([cc_cv_cflags_$1])[ = xyes],
+ [CFLAGS="$CFLAGS $1"; $2], [$3])
+])
+
+dnl CC_CHECK_CFLAGS_APPEND([FLAG1 FLAG2], [action-if-found], [action-if-not])
+AC_DEFUN([CC_CHECK_CFLAGS_APPEND], [
+ for flag in $1; do
+ CC_CHECK_CFLAG_APPEND($flag, [$2], [$3])
+ done
+])
+
+dnl Check if the flag is supported by linker (cacheable)
+dnl CC_CHECK_LDFLAGS([FLAG], [ACTION-IF-FOUND],[ACTION-IF-NOT-FOUND])
+
+AC_DEFUN([CC_CHECK_LDFLAGS], [
+ AC_CACHE_CHECK([if $CC supports $1 flag],
+ AS_TR_SH([cc_cv_ldflags_$1]),
+ [ac_save_LDFLAGS="$LDFLAGS"
+ LDFLAGS="$LDFLAGS $1"
+ AC_LINK_IFELSE([AC_LANG_SOURCE([int main() { return 1; }])],
+ [eval "AS_TR_SH([cc_cv_ldflags_$1])='yes'"],
+ [eval "AS_TR_SH([cc_cv_ldflags_$1])="])
+ LDFLAGS="$ac_save_LDFLAGS"
+ ])
+
+ AS_IF([eval test x$]AS_TR_SH([cc_cv_ldflags_$1])[ = xyes],
+ [$2], [$3])
+])
+
+dnl define the LDFLAGS_NOUNDEFINED variable with the correct value for
+dnl the current linker to avoid undefined references in a shared object.
+AC_DEFUN([CC_NOUNDEFINED], [
+ dnl We check $host for which systems to enable this for.
+ AC_REQUIRE([AC_CANONICAL_HOST])
+
+ case $host in
+ dnl FreeBSD (et al.) does not complete linking for shared objects when pthreads
+ dnl are requested, as different implementations are present; to avoid problems
+ dnl use -Wl,-z,defs only for those platform not behaving this way.
+ *-freebsd* | *-openbsd*) ;;
+ *)
+ dnl First of all check for the --no-undefined variant of GNU ld. This allows
+ dnl for a much more readable commandline, so that people can understand what
+ dnl it does without going to look for what the heck -z defs does.
+ for possible_flags in "-Wl,--no-undefined" "-Wl,-z,defs"; do
+ CC_CHECK_LDFLAGS([$possible_flags], [LDFLAGS_NOUNDEFINED="$possible_flags"])
+ break
+ done
+ ;;
+ esac
+
+ AC_SUBST([LDFLAGS_NOUNDEFINED])
+])
+
+dnl Check for a -Werror flag or equivalent. -Werror is the GCC
+dnl and ICC flag that tells the compiler to treat all the warnings
+dnl as fatal. We usually need this option to make sure that some
+dnl constructs (like attributes) are not simply ignored.
+dnl
+dnl Other compilers don't support -Werror per se, but they support
+dnl an equivalent flag:
+dnl - Sun Studio compiler supports -errwarn=%all
+AC_DEFUN([CC_CHECK_WERROR], [
+ AC_CACHE_CHECK(
+ [for $CC way to treat warnings as errors],
+ [cc_cv_werror],
+ [CC_CHECK_CFLAGS_SILENT([-Werror], [cc_cv_werror=-Werror],
+ [CC_CHECK_CFLAGS_SILENT([-errwarn=%all], [cc_cv_werror=-errwarn=%all])])
+ ])
+])
+
+AC_DEFUN([CC_CHECK_ATTRIBUTE], [
+ AC_REQUIRE([CC_CHECK_WERROR])
+ AC_CACHE_CHECK([if $CC supports __attribute__(( ifelse([$2], , [$1], [$2]) ))],
+ AS_TR_SH([cc_cv_attribute_$1]),
+ [ac_save_CFLAGS="$CFLAGS"
+ CFLAGS="$CFLAGS $cc_cv_werror"
+ AC_COMPILE_IFELSE([AC_LANG_SOURCE([$3])],
+ [eval "AS_TR_SH([cc_cv_attribute_$1])='yes'"],
+ [eval "AS_TR_SH([cc_cv_attribute_$1])='no'"])
+ CFLAGS="$ac_save_CFLAGS"
+ ])
+
+ AS_IF([eval test x$]AS_TR_SH([cc_cv_attribute_$1])[ = xyes],
+ [AC_DEFINE(
+ AS_TR_CPP([SUPPORT_ATTRIBUTE_$1]), 1,
+ [Define this if the compiler supports __attribute__(( ifelse([$2], , [$1], [$2]) ))]
+ )
+ $4],
+ [$5])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_CONSTRUCTOR], [
+ CC_CHECK_ATTRIBUTE(
+ [constructor],,
+ [extern void foo();
+ void __attribute__((constructor)) ctor() { foo(); }],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_DESTRUCTOR], [
+ CC_CHECK_ATTRIBUTE(
+ [destructor],,
+ [extern void foo();
+ void __attribute__((destructor)) dtor() { foo(); }],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_FORMAT], [
+ CC_CHECK_ATTRIBUTE(
+ [format], [format(printf, n, n)],
+ [void __attribute__((format(printf, 1, 2))) printflike(const char *fmt, ...) { fmt = (void *)0; }],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_FORMAT_ARG], [
+ CC_CHECK_ATTRIBUTE(
+ [format_arg], [format_arg(printf)],
+ [char *__attribute__((format_arg(1))) gettextlike(const char *fmt) { fmt = (void *)0; }],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_VISIBILITY], [
+ CC_CHECK_ATTRIBUTE(
+ [visibility_$1], [visibility("$1")],
+ [void __attribute__((visibility("$1"))) $1_function() { }],
+ [$2], [$3])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_NONNULL], [
+ CC_CHECK_ATTRIBUTE(
+ [nonnull], [nonnull()],
+ [void __attribute__((nonnull())) some_function(void *foo, void *bar) { foo = (void*)0; bar = (void*)0; }],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_UNUSED], [
+ CC_CHECK_ATTRIBUTE(
+ [unused], ,
+ [void some_function(void *foo, __attribute__((unused)) void *bar);],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_SENTINEL], [
+ CC_CHECK_ATTRIBUTE(
+ [sentinel], ,
+ [void some_function(void *foo, ...) __attribute__((sentinel));],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_DEPRECATED], [
+ CC_CHECK_ATTRIBUTE(
+ [deprecated], ,
+ [void some_function(void *foo, ...) __attribute__((deprecated));],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_ALIAS], [
+ CC_CHECK_ATTRIBUTE(
+ [alias], [weak, alias],
+ [void other_function(void *foo) { }
+ void some_function(void *foo) __attribute__((weak, alias("other_function")));],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_MALLOC], [
+ CC_CHECK_ATTRIBUTE(
+ [malloc], ,
+ [void * __attribute__((malloc)) my_alloc(int n);],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_PACKED], [
+ CC_CHECK_ATTRIBUTE(
+ [packed], ,
+ [struct astructure { char a; int b; long c; void *d; } __attribute__((packed));
+ char assert@<:@(sizeof(struct astructure) == (sizeof(char)+sizeof(int)+sizeof(long)+sizeof(void*)))-1@:>@;],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_CONST], [
+ CC_CHECK_ATTRIBUTE(
+ [const], ,
+ [int __attribute__((const)) twopow(int n) { return 1 << n; } ],
+ [$1], [$2])
+])
+
+AC_DEFUN([CC_FLAG_VISIBILITY], [
+ AC_REQUIRE([CC_CHECK_WERROR])
+ AC_CACHE_CHECK([if $CC supports -fvisibility=hidden],
+ [cc_cv_flag_visibility],
+ [cc_flag_visibility_save_CFLAGS="$CFLAGS"
+ CFLAGS="$CFLAGS $cc_cv_werror"
+ CC_CHECK_CFLAGS_SILENT([-fvisibility=hidden],
+ cc_cv_flag_visibility='yes',
+ cc_cv_flag_visibility='no')
+ CFLAGS="$cc_flag_visibility_save_CFLAGS"])
+
+ AS_IF([test "x$cc_cv_flag_visibility" = "xyes"],
+ [AC_DEFINE([SUPPORT_FLAG_VISIBILITY], 1,
+ [Define this if the compiler supports the -fvisibility flag])
+ $1],
+ [$2])
+])
+
+AC_DEFUN([CC_FUNC_EXPECT], [
+ AC_REQUIRE([CC_CHECK_WERROR])
+ AC_CACHE_CHECK([if compiler has __builtin_expect function],
+ [cc_cv_func_expect],
+ [ac_save_CFLAGS="$CFLAGS"
+ CFLAGS="$CFLAGS $cc_cv_werror"
+ AC_COMPILE_IFELSE([AC_LANG_SOURCE(
+ [int some_function() {
+ int a = 3;
+ return (int)__builtin_expect(a, 3);
+ }])],
+ [cc_cv_func_expect=yes],
+ [cc_cv_func_expect=no])
+ CFLAGS="$ac_save_CFLAGS"
+ ])
+
+ AS_IF([test "x$cc_cv_func_expect" = "xyes"],
+ [AC_DEFINE([SUPPORT__BUILTIN_EXPECT], 1,
+ [Define this if the compiler supports __builtin_expect() function])
+ $1],
+ [$2])
+])
+
+AC_DEFUN([CC_ATTRIBUTE_ALIGNED], [
+ AC_REQUIRE([CC_CHECK_WERROR])
+ AC_CACHE_CHECK([highest __attribute__ ((aligned ())) supported],
+ [cc_cv_attribute_aligned],
+ [ac_save_CFLAGS="$CFLAGS"
+ CFLAGS="$CFLAGS $cc_cv_werror"
+ for cc_attribute_align_try in 64 32 16 8 4 2; do
+ AC_COMPILE_IFELSE([AC_LANG_SOURCE([
+ int main() {
+ static char c __attribute__ ((aligned($cc_attribute_align_try))) = 0;
+ return c;
+ }])], [cc_cv_attribute_aligned=$cc_attribute_align_try; break])
+ done
+ CFLAGS="$ac_save_CFLAGS"
+ ])
+
+ if test "x$cc_cv_attribute_aligned" != "x"; then
+ AC_DEFINE_UNQUOTED([ATTRIBUTE_ALIGNED_MAX], [$cc_cv_attribute_aligned],
+ [Define the highest alignment supported])
+ fi
+])
diff --git a/rnnoise-uninstalled.pc.in b/rnnoise-uninstalled.pc.in
new file mode 100644
index 0000000..e2af62f
--- /dev/null
+++ b/rnnoise-uninstalled.pc.in
@@ -0,0 +1,13 @@
+# rnnoise uninstalled pkg-config file
+
+prefix=
+exec_prefix=
+libdir=${pcfiledir}/.libs
+includedir=${pcfiledir}/@top_srcdir@/include
+
+Name: rnnoise uninstalled
+Description: RNN-based noise suppression (not installed)
+Version: @PACKAGE_VERSION@
+Conflicts:
+Libs: ${libdir}/librnnoise.la @lrintf_lib@
+Cflags: -I${includedir}
diff --git a/rnnoise.pc.in b/rnnoise.pc.in
new file mode 100644
index 0000000..8c13250
--- /dev/null
+++ b/rnnoise.pc.in
@@ -0,0 +1,14 @@
+# rnnoise installed pkg-config file
+
+prefix=@prefix@
+exec_prefix=@exec_prefix@
+libdir=@libdir@
+includedir=@includedir@
+
+Name: rnnoise
+Description: RNN-based noise suppression
+Version: @PACKAGE_VERSION@
+Conflicts:
+Libs: -L${libdir} -lrnnoise
+Libs.private: @lrintf_lib@
+Cflags: -I${includedir}/
diff --git a/src/_kiss_fft_guts.h b/src/_kiss_fft_guts.h
new file mode 100644
index 0000000..17392b3
--- /dev/null
+++ b/src/_kiss_fft_guts.h
@@ -0,0 +1,182 @@
+/*Copyright (c) 2003-2004, Mark Borgerding
+
+ All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ POSSIBILITY OF SUCH DAMAGE.*/
+
+#ifndef KISS_FFT_GUTS_H
+#define KISS_FFT_GUTS_H
+
+#define MIN(a,b) ((a)<(b) ? (a):(b))
+#define MAX(a,b) ((a)>(b) ? (a):(b))
+
+/* kiss_fft.h
+ defines kiss_fft_scalar as either short or a float type
+ and defines
+ typedef struct { kiss_fft_scalar r; kiss_fft_scalar i; }kiss_fft_cpx; */
+#include "kiss_fft.h"
+
+/*
+ Explanation of macros dealing with complex math:
+
+ C_MUL(m,a,b) : m = a*b
+ C_FIXDIV( c , div ) : if a fixed point impl., c /= div. noop otherwise
+ C_SUB( res, a,b) : res = a - b
+ C_SUBFROM( res , a) : res -= a
+ C_ADDTO( res , a) : res += a
+ * */
+#ifdef FIXED_POINT
+#include "arch.h"
+
+
+#define SAMP_MAX 2147483647
+#define TWID_MAX 32767
+#define TRIG_UPSCALE 1
+
+#define SAMP_MIN -SAMP_MAX
+
+
+# define S_MUL(a,b) MULT16_32_Q15(b, a)
+
+# define C_MUL(m,a,b) \
+ do{ (m).r = SUB32_ovflw(S_MUL((a).r,(b).r) , S_MUL((a).i,(b).i)); \
+ (m).i = ADD32_ovflw(S_MUL((a).r,(b).i) , S_MUL((a).i,(b).r)); }while(0)
+
+# define C_MULC(m,a,b) \
+ do{ (m).r = ADD32_ovflw(S_MUL((a).r,(b).r) , S_MUL((a).i,(b).i)); \
+ (m).i = SUB32_ovflw(S_MUL((a).i,(b).r) , S_MUL((a).r,(b).i)); }while(0)
+
+# define C_MULBYSCALAR( c, s ) \
+ do{ (c).r = S_MUL( (c).r , s ) ;\
+ (c).i = S_MUL( (c).i , s ) ; }while(0)
+
+# define DIVSCALAR(x,k) \
+ (x) = S_MUL( x, (TWID_MAX-((k)>>1))/(k)+1 )
+
+# define C_FIXDIV(c,div) \
+ do { DIVSCALAR( (c).r , div); \
+ DIVSCALAR( (c).i , div); }while (0)
+
+#define C_ADD( res, a,b)\
+ do {(res).r=ADD32_ovflw((a).r,(b).r); (res).i=ADD32_ovflw((a).i,(b).i); \
+ }while(0)
+#define C_SUB( res, a,b)\
+ do {(res).r=SUB32_ovflw((a).r,(b).r); (res).i=SUB32_ovflw((a).i,(b).i); \
+ }while(0)
+#define C_ADDTO( res , a)\
+ do {(res).r = ADD32_ovflw((res).r, (a).r); (res).i = ADD32_ovflw((res).i,(a).i);\
+ }while(0)
+
+#define C_SUBFROM( res , a)\
+ do {(res).r = ADD32_ovflw((res).r,(a).r); (res).i = SUB32_ovflw((res).i,(a).i); \
+ }while(0)
+
+#if defined(OPUS_ARM_INLINE_ASM)
+#include "arm/kiss_fft_armv4.h"
+#endif
+
+#if defined(OPUS_ARM_INLINE_EDSP)
+#include "arm/kiss_fft_armv5e.h"
+#endif
+#if defined(MIPSr1_ASM)
+#include "mips/kiss_fft_mipsr1.h"
+#endif
+
+#else /* not FIXED_POINT*/
+
+# define S_MUL(a,b) ( (a)*(b) )
+#define C_MUL(m,a,b) \
+ do{ (m).r = (a).r*(b).r - (a).i*(b).i;\
+ (m).i = (a).r*(b).i + (a).i*(b).r; }while(0)
+#define C_MULC(m,a,b) \
+ do{ (m).r = (a).r*(b).r + (a).i*(b).i;\
+ (m).i = (a).i*(b).r - (a).r*(b).i; }while(0)
+
+#define C_MUL4(m,a,b) C_MUL(m,a,b)
+
+# define C_FIXDIV(c,div) /* NOOP */
+# define C_MULBYSCALAR( c, s ) \
+ do{ (c).r *= (s);\
+ (c).i *= (s); }while(0)
+#endif
+
+#ifndef CHECK_OVERFLOW_OP
+# define CHECK_OVERFLOW_OP(a,op,b) /* noop */
+#endif
+
+#ifndef C_ADD
+#define C_ADD( res, a,b)\
+ do { \
+ CHECK_OVERFLOW_OP((a).r,+,(b).r)\
+ CHECK_OVERFLOW_OP((a).i,+,(b).i)\
+ (res).r=(a).r+(b).r; (res).i=(a).i+(b).i; \
+ }while(0)
+#define C_SUB( res, a,b)\
+ do { \
+ CHECK_OVERFLOW_OP((a).r,-,(b).r)\
+ CHECK_OVERFLOW_OP((a).i,-,(b).i)\
+ (res).r=(a).r-(b).r; (res).i=(a).i-(b).i; \
+ }while(0)
+#define C_ADDTO( res , a)\
+ do { \
+ CHECK_OVERFLOW_OP((res).r,+,(a).r)\
+ CHECK_OVERFLOW_OP((res).i,+,(a).i)\
+ (res).r += (a).r; (res).i += (a).i;\
+ }while(0)
+
+#define C_SUBFROM( res , a)\
+ do {\
+ CHECK_OVERFLOW_OP((res).r,-,(a).r)\
+ CHECK_OVERFLOW_OP((res).i,-,(a).i)\
+ (res).r -= (a).r; (res).i -= (a).i; \
+ }while(0)
+#endif /* C_ADD defined */
+
+#ifdef FIXED_POINT
+/*# define KISS_FFT_COS(phase) TRIG_UPSCALE*floor(MIN(32767,MAX(-32767,.5+32768 * cos (phase))))
+# define KISS_FFT_SIN(phase) TRIG_UPSCALE*floor(MIN(32767,MAX(-32767,.5+32768 * sin (phase))))*/
+# define KISS_FFT_COS(phase) floor(.5+TWID_MAX*cos (phase))
+# define KISS_FFT_SIN(phase) floor(.5+TWID_MAX*sin (phase))
+# define HALF_OF(x) ((x)>>1)
+#elif defined(USE_SIMD)
+# define KISS_FFT_COS(phase) _mm_set1_ps( cos(phase) )
+# define KISS_FFT_SIN(phase) _mm_set1_ps( sin(phase) )
+# define HALF_OF(x) ((x)*_mm_set1_ps(.5f))
+#else
+# define KISS_FFT_COS(phase) (kiss_fft_scalar) cos(phase)
+# define KISS_FFT_SIN(phase) (kiss_fft_scalar) sin(phase)
+# define HALF_OF(x) ((x)*.5f)
+#endif
+
+#define kf_cexp(x,phase) \
+ do{ \
+ (x)->r = KISS_FFT_COS(phase);\
+ (x)->i = KISS_FFT_SIN(phase);\
+ }while(0)
+
+#define kf_cexp2(x,phase) \
+ do{ \
+ (x)->r = TRIG_UPSCALE*celt_cos_norm((phase));\
+ (x)->i = TRIG_UPSCALE*celt_cos_norm((phase)-32768);\
+}while(0)
+
+#endif /* KISS_FFT_GUTS_H */
diff --git a/src/arch.h b/src/arch.h
new file mode 100644
index 0000000..52de623
--- /dev/null
+++ b/src/arch.h
@@ -0,0 +1,261 @@
+/* Copyright (c) 2003-2008 Jean-Marc Valin
+ Copyright (c) 2007-2008 CSIRO
+ Copyright (c) 2007-2009 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/**
+ @file arch.h
+ @brief Various architecture definitions for CELT
+*/
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifndef ARCH_H
+#define ARCH_H
+
+#include "opus_types.h"
+#include "common.h"
+
+# if !defined(__GNUC_PREREQ)
+# if defined(__GNUC__)&&defined(__GNUC_MINOR__)
+# define __GNUC_PREREQ(_maj,_min) \
+ ((__GNUC__<<16)+__GNUC_MINOR__>=((_maj)<<16)+(_min))
+# else
+# define __GNUC_PREREQ(_maj,_min) 0
+# endif
+# endif
+
+#define CELT_SIG_SCALE 32768.f
+
+#define celt_fatal(str) _celt_fatal(str, __FILE__, __LINE__);
+#ifdef ENABLE_ASSERTIONS
+#include <stdio.h>
+#include <stdlib.h>
+#ifdef __GNUC__
+__attribute__((noreturn))
+#endif
+static OPUS_INLINE void _celt_fatal(const char *str, const char *file, int line)
+{
+ fprintf (stderr, "Fatal (internal) error in %s, line %d: %s\n", file, line, str);
+ abort();
+}
+#define celt_assert(cond) {if (!(cond)) {celt_fatal("assertion failed: " #cond);}}
+#define celt_assert2(cond, message) {if (!(cond)) {celt_fatal("assertion failed: " #cond "\n" message);}}
+#else
+#define celt_assert(cond)
+#define celt_assert2(cond, message)
+#endif
+
+#define IMUL32(a,b) ((a)*(b))
+
+#define MIN16(a,b) ((a) < (b) ? (a) : (b)) /**< Minimum 16-bit value. */
+#define MAX16(a,b) ((a) > (b) ? (a) : (b)) /**< Maximum 16-bit value. */
+#define MIN32(a,b) ((a) < (b) ? (a) : (b)) /**< Minimum 32-bit value. */
+#define MAX32(a,b) ((a) > (b) ? (a) : (b)) /**< Maximum 32-bit value. */
+#define IMIN(a,b) ((a) < (b) ? (a) : (b)) /**< Minimum int value. */
+#define IMAX(a,b) ((a) > (b) ? (a) : (b)) /**< Maximum int value. */
+#define UADD32(a,b) ((a)+(b))
+#define USUB32(a,b) ((a)-(b))
+
+/* Set this if opus_int64 is a native type of the CPU. */
+/* Assume that all LP64 architectures have fast 64-bit types; also x86_64
+ (which can be ILP32 for x32) and Win64 (which is LLP64). */
+#if defined(__x86_64__) || defined(__LP64__) || defined(_WIN64)
+#define OPUS_FAST_INT64 1
+#else
+#define OPUS_FAST_INT64 0
+#endif
+
+#define PRINT_MIPS(file)
+
+#ifdef FIXED_POINT
+
+typedef opus_int16 opus_val16;
+typedef opus_int32 opus_val32;
+typedef opus_int64 opus_val64;
+
+typedef opus_val32 celt_sig;
+typedef opus_val16 celt_norm;
+typedef opus_val32 celt_ener;
+
+#define Q15ONE 32767
+
+#define SIG_SHIFT 12
+/* Safe saturation value for 32-bit signals. Should be less than
+ 2^31*(1-0.85) to avoid blowing up on DC at deemphasis.*/
+#define SIG_SAT (300000000)
+
+#define NORM_SCALING 16384
+
+#define DB_SHIFT 10
+
+#define EPSILON 1
+#define VERY_SMALL 0
+#define VERY_LARGE16 ((opus_val16)32767)
+#define Q15_ONE ((opus_val16)32767)
+
+#define SCALEIN(a) (a)
+#define SCALEOUT(a) (a)
+
+#define ABS16(x) ((x) < 0 ? (-(x)) : (x))
+#define ABS32(x) ((x) < 0 ? (-(x)) : (x))
+
+static OPUS_INLINE opus_int16 SAT16(opus_int32 x) {
+ return x > 32767 ? 32767 : x < -32768 ? -32768 : (opus_int16)x;
+}
+
+#ifdef FIXED_DEBUG
+#include "fixed_debug.h"
+#else
+
+#include "fixed_generic.h"
+
+#ifdef OPUS_ARM_PRESUME_AARCH64_NEON_INTR
+#include "arm/fixed_arm64.h"
+#elif OPUS_ARM_INLINE_EDSP
+#include "arm/fixed_armv5e.h"
+#elif defined (OPUS_ARM_INLINE_ASM)
+#include "arm/fixed_armv4.h"
+#elif defined (BFIN_ASM)
+#include "fixed_bfin.h"
+#elif defined (TI_C5X_ASM)
+#include "fixed_c5x.h"
+#elif defined (TI_C6X_ASM)
+#include "fixed_c6x.h"
+#endif
+
+#endif
+
+#else /* FIXED_POINT */
+
+typedef float opus_val16;
+typedef float opus_val32;
+typedef float opus_val64;
+
+typedef float celt_sig;
+typedef float celt_norm;
+typedef float celt_ener;
+
+#ifdef FLOAT_APPROX
+/* This code should reliably detect NaN/inf even when -ffast-math is used.
+ Assumes IEEE 754 format. */
+static OPUS_INLINE int celt_isnan(float x)
+{
+ union {float f; opus_uint32 i;} in;
+ in.f = x;
+ return ((in.i>>23)&0xFF)==0xFF && (in.i&0x007FFFFF)!=0;
+}
+#else
+#ifdef __FAST_MATH__
+#error Cannot build libopus with -ffast-math unless FLOAT_APPROX is defined. This could result in crashes on extreme (e.g. NaN) input
+#endif
+#define celt_isnan(x) ((x)!=(x))
+#endif
+
+#define Q15ONE 1.0f
+
+#define NORM_SCALING 1.f
+
+#define EPSILON 1e-15f
+#define VERY_SMALL 1e-30f
+#define VERY_LARGE16 1e15f
+#define Q15_ONE ((opus_val16)1.f)
+
+/* This appears to be the same speed as C99's fabsf() but it's more portable. */
+#define ABS16(x) ((float)fabs(x))
+#define ABS32(x) ((float)fabs(x))
+
+#define QCONST16(x,bits) (x)
+#define QCONST32(x,bits) (x)
+
+#define NEG16(x) (-(x))
+#define NEG32(x) (-(x))
+#define NEG32_ovflw(x) (-(x))
+#define EXTRACT16(x) (x)
+#define EXTEND32(x) (x)
+#define SHR16(a,shift) (a)
+#define SHL16(a,shift) (a)
+#define SHR32(a,shift) (a)
+#define SHL32(a,shift) (a)
+#define PSHR32(a,shift) (a)
+#define VSHR32(a,shift) (a)
+
+#define PSHR(a,shift) (a)
+#define SHR(a,shift) (a)
+#define SHL(a,shift) (a)
+#define SATURATE(x,a) (x)
+#define SATURATE16(x) (x)
+
+#define ROUND16(a,shift) (a)
+#define SROUND16(a,shift) (a)
+#define HALF16(x) (.5f*(x))
+#define HALF32(x) (.5f*(x))
+
+#define ADD16(a,b) ((a)+(b))
+#define SUB16(a,b) ((a)-(b))
+#define ADD32(a,b) ((a)+(b))
+#define SUB32(a,b) ((a)-(b))
+#define ADD32_ovflw(a,b) ((a)+(b))
+#define SUB32_ovflw(a,b) ((a)-(b))
+#define MULT16_16_16(a,b) ((a)*(b))
+#define MULT16_16(a,b) ((opus_val32)(a)*(opus_val32)(b))
+#define MAC16_16(c,a,b) ((c)+(opus_val32)(a)*(opus_val32)(b))
+
+#define MULT16_32_Q15(a,b) ((a)*(b))
+#define MULT16_32_Q16(a,b) ((a)*(b))
+
+#define MULT32_32_Q31(a,b) ((a)*(b))
+
+#define MAC16_32_Q15(c,a,b) ((c)+(a)*(b))
+#define MAC16_32_Q16(c,a,b) ((c)+(a)*(b))
+
+#define MULT16_16_Q11_32(a,b) ((a)*(b))
+#define MULT16_16_Q11(a,b) ((a)*(b))
+#define MULT16_16_Q13(a,b) ((a)*(b))
+#define MULT16_16_Q14(a,b) ((a)*(b))
+#define MULT16_16_Q15(a,b) ((a)*(b))
+#define MULT16_16_P15(a,b) ((a)*(b))
+#define MULT16_16_P13(a,b) ((a)*(b))
+#define MULT16_16_P14(a,b) ((a)*(b))
+#define MULT16_32_P16(a,b) ((a)*(b))
+
+#define DIV32_16(a,b) (((opus_val32)(a))/(opus_val16)(b))
+#define DIV32(a,b) (((opus_val32)(a))/(opus_val32)(b))
+
+#define SCALEIN(a) ((a)*CELT_SIG_SCALE)
+#define SCALEOUT(a) ((a)*(1/CELT_SIG_SCALE))
+
+#define SIG2WORD16(x) (x)
+
+#endif /* !FIXED_POINT */
+
+#ifndef GLOBAL_STACK_SIZE
+#ifdef FIXED_POINT
+#define GLOBAL_STACK_SIZE 120000
+#else
+#define GLOBAL_STACK_SIZE 120000
+#endif
+#endif
+
+#endif /* ARCH_H */
diff --git a/src/celt_lpc.c b/src/celt_lpc.c
new file mode 100644
index 0000000..5d7ffa4
--- /dev/null
+++ b/src/celt_lpc.c
@@ -0,0 +1,279 @@
+/* Copyright (c) 2009-2010 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include "celt_lpc.h"
+#include "arch.h"
+#include "common.h"
+#include "pitch.h"
+
+void _celt_lpc(
+ opus_val16 *_lpc, /* out: [0...p-1] LPC coefficients */
+const opus_val32 *ac, /* in: [0...p] autocorrelation values */
+int p
+)
+{
+ int i, j;
+ opus_val32 r;
+ opus_val32 error = ac[0];
+#ifdef FIXED_POINT
+ opus_val32 lpc[LPC_ORDER];
+#else
+ float *lpc = _lpc;
+#endif
+
+ RNN_CLEAR(lpc, p);
+ if (ac[0] != 0)
+ {
+ for (i = 0; i < p; i++) {
+ /* Sum up this iteration's reflection coefficient */
+ opus_val32 rr = 0;
+ for (j = 0; j < i; j++)
+ rr += MULT32_32_Q31(lpc[j],ac[i - j]);
+ rr += SHR32(ac[i + 1],3);
+ r = -SHL32(rr,3)/error;
+ /* Update LPC coefficients and total error */
+ lpc[i] = SHR32(r,3);
+ for (j = 0; j < (i+1)>>1; j++)
+ {
+ opus_val32 tmp1, tmp2;
+ tmp1 = lpc[j];
+ tmp2 = lpc[i-1-j];
+ lpc[j] = tmp1 + MULT32_32_Q31(r,tmp2);
+ lpc[i-1-j] = tmp2 + MULT32_32_Q31(r,tmp1);
+ }
+
+ error = error - MULT32_32_Q31(MULT32_32_Q31(r,r),error);
+ /* Bail out once we get 30 dB gain */
+#ifdef FIXED_POINT
+ if (error<SHR32(ac[0],10))
+ break;
+#else
+ if (error<.001f*ac[0])
+ break;
+#endif
+ }
+ }
+#ifdef FIXED_POINT
+ for (i=0;i<p;i++)
+ _lpc[i] = ROUND16(lpc[i],16);
+#endif
+}
+
+
+void celt_fir(
+ const opus_val16 *x,
+ const opus_val16 *num,
+ opus_val16 *y,
+ int N,
+ int ord)
+{
+ int i,j;
+ opus_val16 rnum[ord];
+ for(i=0;i<ord;i++)
+ rnum[i] = num[ord-i-1];
+ for (i=0;i<N-3;i+=4)
+ {
+ opus_val32 sum[4];
+ sum[0] = SHL32(EXTEND32(x[i ]), SIG_SHIFT);
+ sum[1] = SHL32(EXTEND32(x[i+1]), SIG_SHIFT),
+ sum[2] = SHL32(EXTEND32(x[i+2]), SIG_SHIFT);
+ sum[3] = SHL32(EXTEND32(x[i+3]), SIG_SHIFT);
+ xcorr_kernel(rnum, x+i-ord, sum, ord);
+ y[i ] = ROUND16(sum[0], SIG_SHIFT);
+ y[i+1] = ROUND16(sum[1], SIG_SHIFT);
+ y[i+2] = ROUND16(sum[2], SIG_SHIFT);
+ y[i+3] = ROUND16(sum[3], SIG_SHIFT);
+ }
+ for (;i<N;i++)
+ {
+ opus_val32 sum = SHL32(EXTEND32(x[i]), SIG_SHIFT);
+ for (j=0;j<ord;j++)
+ sum = MAC16_16(sum,rnum[j],x[i+j-ord]);
+ y[i] = ROUND16(sum, SIG_SHIFT);
+ }
+}
+
+void celt_iir(const opus_val32 *_x,
+ const opus_val16 *den,
+ opus_val32 *_y,
+ int N,
+ int ord,
+ opus_val16 *mem)
+{
+#ifdef SMALL_FOOTPRINT
+ int i,j;
+ for (i=0;i<N;i++)
+ {
+ opus_val32 sum = _x[i];
+ for (j=0;j<ord;j++)
+ {
+ sum -= MULT16_16(den[j],mem[j]);
+ }
+ for (j=ord-1;j>=1;j--)
+ {
+ mem[j]=mem[j-1];
+ }
+ mem[0] = SROUND16(sum, SIG_SHIFT);
+ _y[i] = sum;
+ }
+#else
+ int i,j;
+ celt_assert((ord&3)==0);
+ opus_val16 rden[ord];
+ opus_val16 y[N+ord];
+ for(i=0;i<ord;i++)
+ rden[i] = den[ord-i-1];
+ for(i=0;i<ord;i++)
+ y[i] = -mem[ord-i-1];
+ for(;i<N+ord;i++)
+ y[i]=0;
+ for (i=0;i<N-3;i+=4)
+ {
+ /* Unroll by 4 as if it were an FIR filter */
+ opus_val32 sum[4];
+ sum[0]=_x[i];
+ sum[1]=_x[i+1];
+ sum[2]=_x[i+2];
+ sum[3]=_x[i+3];
+ xcorr_kernel(rden, y+i, sum, ord);
+
+ /* Patch up the result to compensate for the fact that this is an IIR */
+ y[i+ord ] = -SROUND16(sum[0],SIG_SHIFT);
+ _y[i ] = sum[0];
+ sum[1] = MAC16_16(sum[1], y[i+ord ], den[0]);
+ y[i+ord+1] = -SROUND16(sum[1],SIG_SHIFT);
+ _y[i+1] = sum[1];
+ sum[2] = MAC16_16(sum[2], y[i+ord+1], den[0]);
+ sum[2] = MAC16_16(sum[2], y[i+ord ], den[1]);
+ y[i+ord+2] = -SROUND16(sum[2],SIG_SHIFT);
+ _y[i+2] = sum[2];
+
+ sum[3] = MAC16_16(sum[3], y[i+ord+2], den[0]);
+ sum[3] = MAC16_16(sum[3], y[i+ord+1], den[1]);
+ sum[3] = MAC16_16(sum[3], y[i+ord ], den[2]);
+ y[i+ord+3] = -SROUND16(sum[3],SIG_SHIFT);
+ _y[i+3] = sum[3];
+ }
+ for (;i<N;i++)
+ {
+ opus_val32 sum = _x[i];
+ for (j=0;j<ord;j++)
+ sum -= MULT16_16(rden[j],y[i+j]);
+ y[i+ord] = SROUND16(sum,SIG_SHIFT);
+ _y[i] = sum;
+ }
+ for(i=0;i<ord;i++)
+ mem[i] = _y[N-i-1];
+#endif
+}
+
+int _celt_autocorr(
+ const opus_val16 *x, /* in: [0...n-1] samples x */
+ opus_val32 *ac, /* out: [0...lag-1] ac values */
+ const opus_val16 *window,
+ int overlap,
+ int lag,
+ int n)
+{
+ opus_val32 d;
+ int i, k;
+ int fastN=n-lag;
+ int shift;
+ const opus_val16 *xptr;
+ opus_val16 xx[n];
+ celt_assert(n>0);
+ celt_assert(overlap>=0);
+ if (overlap == 0)
+ {
+ xptr = x;
+ } else {
+ for (i=0;i<n;i++)
+ xx[i] = x[i];
+ for (i=0;i<overlap;i++)
+ {
+ xx[i] = MULT16_16_Q15(x[i],window[i]);
+ xx[n-i-1] = MULT16_16_Q15(x[n-i-1],window[i]);
+ }
+ xptr = xx;
+ }
+ shift=0;
+#ifdef FIXED_POINT
+ {
+ opus_val32 ac0;
+ ac0 = 1+(n<<7);
+ if (n&1) ac0 += SHR32(MULT16_16(xptr[0],xptr[0]),9);
+ for(i=(n&1);i<n;i+=2)
+ {
+ ac0 += SHR32(MULT16_16(xptr[i],xptr[i]),9);
+ ac0 += SHR32(MULT16_16(xptr[i+1],xptr[i+1]),9);
+ }
+
+ shift = celt_ilog2(ac0)-30+10;
+ shift = (shift)/2;
+ if (shift>0)
+ {
+ for(i=0;i<n;i++)
+ xx[i] = PSHR32(xptr[i], shift);
+ xptr = xx;
+ } else
+ shift = 0;
+ }
+#endif
+ celt_pitch_xcorr(xptr, xptr, ac, fastN, lag+1);
+ for (k=0;k<=lag;k++)
+ {
+ for (i = k+fastN, d = 0; i < n; i++)
+ d = MAC16_16(d, xptr[i], xptr[i-k]);
+ ac[k] += d;
+ }
+#ifdef FIXED_POINT
+ shift = 2*shift;
+ if (shift<=0)
+ ac[0] += SHL32((opus_int32)1, -shift);
+ if (ac[0] < 268435456)
+ {
+ int shift2 = 29 - EC_ILOG(ac[0]);
+ for (i=0;i<=lag;i++)
+ ac[i] = SHL32(ac[i], shift2);
+ shift -= shift2;
+ } else if (ac[0] >= 536870912)
+ {
+ int shift2=1;
+ if (ac[0] >= 1073741824)
+ shift2++;
+ for (i=0;i<=lag;i++)
+ ac[i] = SHR32(ac[i], shift2);
+ shift += shift2;
+ }
+#endif
+
+ return shift;
+}
diff --git a/src/celt_lpc.h b/src/celt_lpc.h
new file mode 100644
index 0000000..34e0ff9
--- /dev/null
+++ b/src/celt_lpc.h
@@ -0,0 +1,59 @@
+/* Copyright (c) 2009-2010 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifndef PLC_H
+#define PLC_H
+
+#include "arch.h"
+#include "common.h"
+
+#if defined(OPUS_X86_MAY_HAVE_SSE4_1)
+#include "x86/celt_lpc_sse.h"
+#endif
+
+#define LPC_ORDER 24
+
+void _celt_lpc(opus_val16 *_lpc, const opus_val32 *ac, int p);
+
+void celt_fir(
+ const opus_val16 *x,
+ const opus_val16 *num,
+ opus_val16 *y,
+ int N,
+ int ord);
+
+void celt_iir(const opus_val32 *x,
+ const opus_val16 *den,
+ opus_val32 *y,
+ int N,
+ int ord,
+ opus_val16 *mem);
+
+int _celt_autocorr(const opus_val16 *x, opus_val32 *ac,
+ const opus_val16 *window, int overlap, int lag, int n);
+
+#endif /* PLC_H */
diff --git a/src/common.h b/src/common.h
new file mode 100644
index 0000000..5005bff
--- /dev/null
+++ b/src/common.h
@@ -0,0 +1,48 @@
+
+
+#ifndef COMMON_H
+#define COMMON_H
+
+#include "stdlib.h"
+#include "string.h"
+
+#define RNN_INLINE inline
+#define OPUS_INLINE inline
+
+
+/** RNNoise wrapper for malloc(). To do your own dynamic allocation, all you need t
+o do is replace this function and rnnoise_free */
+#ifndef OVERRIDE_RNNOISE_ALLOC
+static RNN_INLINE void *rnnoise_alloc (size_t size)
+{
+ return malloc(size);
+}
+#endif
+
+/** RNNoise wrapper for free(). To do your own dynamic allocation, all you need to do is replace this function and rnnoise_alloc */
+#ifndef OVERRIDE_RNNOISE_FREE
+static RNN_INLINE void rnnoise_free (void *ptr)
+{
+ free(ptr);
+}
+#endif
+
+/** Copy n elements from src to dst. The 0* term provides compile-time type checking */
+#ifndef OVERRIDE_RNN_COPY
+#define RNN_COPY(dst, src, n) (memcpy((dst), (src), (n)*sizeof(*(dst)) + 0*((dst)-(src)) ))
+#endif
+
+/** Copy n elements from src to dst, allowing overlapping regions. The 0* term
+ provides compile-time type checking */
+#ifndef OVERRIDE_RNN_MOVE
+#define RNN_MOVE(dst, src, n) (memmove((dst), (src), (n)*sizeof(*(dst)) + 0*((dst)-(src)) ))
+#endif
+
+/** Set n elements of dst to zero */
+#ifndef OVERRIDE_RNN_CLEAR
+#define RNN_CLEAR(dst, n) (memset((dst), 0, (n)*sizeof(*(dst))))
+#endif
+
+
+
+#endif
diff --git a/src/compile.sh b/src/compile.sh
new file mode 100755
index 0000000..4b2ea53
--- /dev/null
+++ b/src/compile.sh
@@ -0,0 +1,3 @@
+#!/bin/sh
+
+gcc -DTRAINING=1 -Wall -W -O3 -g -I../include denoise.c kiss_fft.c pitch.c celt_lpc.c rnn.c rnn_data.c -o denoise_training -lm
diff --git a/src/denoise.c b/src/denoise.c
new file mode 100644
index 0000000..d1c21dc
--- /dev/null
+++ b/src/denoise.c
@@ -0,0 +1,642 @@
+/* Copyright (c) 2018 Gregor Richards
+ * Copyright (c) 2017 Mozilla */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include <stdlib.h>
+#include <string.h>
+#include <stdio.h>
+#include "kiss_fft.h"
+#include "common.h"
+#include <math.h>
+#include "rnnoise.h"
+#include "pitch.h"
+#include "arch.h"
+#include "rnn.h"
+#include "rnn_data.h"
+
+#define FRAME_SIZE_SHIFT 2
+#define FRAME_SIZE (120<<FRAME_SIZE_SHIFT)
+#define WINDOW_SIZE (2*FRAME_SIZE)
+#define FREQ_SIZE (FRAME_SIZE + 1)
+
+#define PITCH_MIN_PERIOD 60
+#define PITCH_MAX_PERIOD 768
+#define PITCH_FRAME_SIZE 960
+#define PITCH_BUF_SIZE (PITCH_MAX_PERIOD+PITCH_FRAME_SIZE)
+
+#define SQUARE(x) ((x)*(x))
+
+#define NB_BANDS 22
+
+#define CEPS_MEM 8
+#define NB_DELTA_CEPS 6
+
+#define NB_FEATURES (NB_BANDS+3*NB_DELTA_CEPS+2)
+
+
+#ifndef TRAINING
+#define TRAINING 0
+#endif
+
+
+/* The built-in model, used if no file is given as input */
+extern const struct RNNModel rnnoise_model_orig;
+
+
+static const opus_int16 eband5ms[] = {
+/*0 200 400 600 800 1k 1.2 1.4 1.6 2k 2.4 2.8 3.2 4k 4.8 5.6 6.8 8k 9.6 12k 15.6 20k*/
+ 0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 14, 16, 20, 24, 28, 34, 40, 48, 60, 78, 100
+};
+
+
+typedef struct {
+ int init;
+ kiss_fft_state *kfft;
+ float half_window[FRAME_SIZE];
+ float dct_table[NB_BANDS*NB_BANDS];
+} CommonState;
+
+struct DenoiseState {
+ float analysis_mem[FRAME_SIZE];
+ float cepstral_mem[CEPS_MEM][NB_BANDS];
+ int memid;
+ float synthesis_mem[FRAME_SIZE];
+ float pitch_buf[PITCH_BUF_SIZE];
+ float pitch_enh_buf[PITCH_BUF_SIZE];
+ float last_gain;
+ int last_period;
+ float mem_hp_x[2];
+ float lastg[NB_BANDS];
+ RNNState rnn;
+};
+
+void compute_band_energy(float *bandE, const kiss_fft_cpx *X) {
+ int i;
+ float sum[NB_BANDS] = {0};
+ for (i=0;i<NB_BANDS-1;i++)
+ {
+ int j;
+ int band_size;
+ band_size = (eband5ms[i+1]-eband5ms[i])<<FRAME_SIZE_SHIFT;
+ for (j=0;j<band_size;j++) {
+ float tmp;
+ float frac = (float)j/band_size;
+ tmp = SQUARE(X[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].r);
+ tmp += SQUARE(X[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].i);
+ sum[i] += (1-frac)*tmp;
+ sum[i+1] += frac*tmp;
+ }
+ }
+ sum[0] *= 2;
+ sum[NB_BANDS-1] *= 2;
+ for (i=0;i<NB_BANDS;i++)
+ {
+ bandE[i] = sum[i];
+ }
+}
+
+void compute_band_corr(float *bandE, const kiss_fft_cpx *X, const kiss_fft_cpx *P) {
+ int i;
+ float sum[NB_BANDS] = {0};
+ for (i=0;i<NB_BANDS-1;i++)
+ {
+ int j;
+ int band_size;
+ band_size = (eband5ms[i+1]-eband5ms[i])<<FRAME_SIZE_SHIFT;
+ for (j=0;j<band_size;j++) {
+ float tmp;
+ float frac = (float)j/band_size;
+ tmp = X[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].r * P[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].r;
+ tmp += X[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].i * P[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j].i;
+ sum[i] += (1-frac)*tmp;
+ sum[i+1] += frac*tmp;
+ }
+ }
+ sum[0] *= 2;
+ sum[NB_BANDS-1] *= 2;
+ for (i=0;i<NB_BANDS;i++)
+ {
+ bandE[i] = sum[i];
+ }
+}
+
+void interp_band_gain(float *g, const float *bandE) {
+ int i;
+ memset(g, 0, FREQ_SIZE);
+ for (i=0;i<NB_BANDS-1;i++)
+ {
+ int j;
+ int band_size;
+ band_size = (eband5ms[i+1]-eband5ms[i])<<FRAME_SIZE_SHIFT;
+ for (j=0;j<band_size;j++) {
+ float frac = (float)j/band_size;
+ g[(eband5ms[i]<<FRAME_SIZE_SHIFT) + j] = (1-frac)*bandE[i] + frac*bandE[i+1];
+ }
+ }
+}
+
+
+CommonState common;
+
+static void check_init() {
+ int i;
+ if (common.init) return;
+ common.kfft = opus_fft_alloc_twiddles(2*FRAME_SIZE, NULL, NULL, NULL, 0);
+ for (i=0;i<FRAME_SIZE;i++)
+ common.half_window[i] = sin(.5*M_PI*sin(.5*M_PI*(i+.5)/FRAME_SIZE) * sin(.5*M_PI*(i+.5)/FRAME_SIZE));
+ for (i=0;i<NB_BANDS;i++) {
+ int j;
+ for (j=0;j<NB_BANDS;j++) {
+ common.dct_table[i*NB_BANDS + j] = cos((i+.5)*j*M_PI/NB_BANDS);
+ if (j==0) common.dct_table[i*NB_BANDS + j] *= sqrt(.5);
+ }
+ }
+ common.init = 1;
+}
+
+static void dct(float *out, const float *in) {
+ int i;
+ check_init();
+ for (i=0;i<NB_BANDS;i++) {
+ int j;
+ float sum = 0;
+ for (j=0;j<NB_BANDS;j++) {
+ sum += in[j] * common.dct_table[j*NB_BANDS + i];
+ }
+ out[i] = sum*sqrt(2./22);
+ }
+}
+
+#if 0
+static void idct(float *out, const float *in) {
+ int i;
+ check_init();
+ for (i=0;i<NB_BANDS;i++) {
+ int j;
+ float sum = 0;
+ for (j=0;j<NB_BANDS;j++) {
+ sum += in[j] * common.dct_table[i*NB_BANDS + j];
+ }
+ out[i] = sum*sqrt(2./22);
+ }
+}
+#endif
+
+static void forward_transform(kiss_fft_cpx *out, const float *in) {
+ int i;
+ kiss_fft_cpx x[WINDOW_SIZE];
+ kiss_fft_cpx y[WINDOW_SIZE];
+ check_init();
+ for (i=0;i<WINDOW_SIZE;i++) {
+ x[i].r = in[i];
+ x[i].i = 0;
+ }
+ opus_fft(common.kfft, x, y, 0);
+ for (i=0;i<FREQ_SIZE;i++) {
+ out[i] = y[i];
+ }
+}
+
+static void inverse_transform(float *out, const kiss_fft_cpx *in) {
+ int i;
+ kiss_fft_cpx x[WINDOW_SIZE];
+ kiss_fft_cpx y[WINDOW_SIZE];
+ check_init();
+ for (i=0;i<FREQ_SIZE;i++) {
+ x[i] = in[i];
+ }
+ for (;i<WINDOW_SIZE;i++) {
+ x[i].r = x[WINDOW_SIZE - i].r;
+ x[i].i = -x[WINDOW_SIZE - i].i;
+ }
+ opus_fft(common.kfft, x, y, 0);
+ /* output in reverse order for IFFT. */
+ out[0] = WINDOW_SIZE*y[0].r;
+ for (i=1;i<WINDOW_SIZE;i++) {
+ out[i] = WINDOW_SIZE*y[WINDOW_SIZE - i].r;
+ }
+}
+
+static void apply_window(float *x) {
+ int i;
+ check_init();
+ for (i=0;i<FRAME_SIZE;i++) {
+ x[i] *= common.half_window[i];
+ x[WINDOW_SIZE - 1 - i] *= common.half_window[i];
+ }
+}
+
+int rnnoise_get_size() {
+ return sizeof(DenoiseState);
+}
+
+int rnnoise_init(DenoiseState *st, RNNModel *model) {
+ memset(st, 0, sizeof(*st));
+ if (model)
+ st->rnn.model = model;
+ else
+ st->rnn.model = &rnnoise_model_orig;
+ st->rnn.vad_gru_state = calloc(sizeof(float), st->rnn.model->vad_gru_size);
+ st->rnn.noise_gru_state = calloc(sizeof(float), st->rnn.model->noise_gru_size);
+ st->rnn.denoise_gru_state = calloc(sizeof(float), st->rnn.model->denoise_gru_size);
+ return 0;
+}
+
+DenoiseState *rnnoise_create(RNNModel *model) {
+ DenoiseState *st;
+ st = malloc(rnnoise_get_size());
+ rnnoise_init(st, model);
+ return st;
+}
+
+void rnnoise_destroy(DenoiseState *st) {
+ free(st->rnn.vad_gru_state);
+ free(st->rnn.noise_gru_state);
+ free(st->rnn.denoise_gru_state);
+ free(st);
+}
+
+#if TRAINING
+int lowpass = FREQ_SIZE;
+int band_lp = NB_BANDS;
+#endif
+
+static void frame_analysis(DenoiseState *st, kiss_fft_cpx *X, float *Ex, const float *in) {
+ int i;
+ float x[WINDOW_SIZE];
+ RNN_COPY(x, st->analysis_mem, FRAME_SIZE);
+ for (i=0;i<FRAME_SIZE;i++) x[FRAME_SIZE + i] = in[i];
+ RNN_COPY(st->analysis_mem, in, FRAME_SIZE);
+ apply_window(x);
+ forward_transform(X, x);
+#if TRAINING
+ for (i=lowpass;i<FREQ_SIZE;i++)
+ X[i].r = X[i].i = 0;
+#endif
+ compute_band_energy(Ex, X);
+}
+
+static int compute_frame_features(DenoiseState *st, kiss_fft_cpx *X, kiss_fft_cpx *P,
+ float *Ex, float *Ep, float *Exp, float *features, const float *in) {
+ int i;
+ float E = 0;
+ float *ceps_0, *ceps_1, *ceps_2;
+ float spec_variability = 0;
+ float Ly[NB_BANDS];
+ float p[WINDOW_SIZE];
+ float pitch_buf[PITCH_BUF_SIZE>>1];
+ int pitch_index;
+ float gain;
+ float *(pre[1]);
+ float tmp[NB_BANDS];
+ float follow, logMax;
+ frame_analysis(st, X, Ex, in);
+ RNN_MOVE(st->pitch_buf, &st->pitch_buf[FRAME_SIZE], PITCH_BUF_SIZE-FRAME_SIZE);
+ RNN_COPY(&st->pitch_buf[PITCH_BUF_SIZE-FRAME_SIZE], in, FRAME_SIZE);
+ pre[0] = &st->pitch_buf[0];
+ pitch_downsample(pre, pitch_buf, PITCH_BUF_SIZE, 1);
+ pitch_search(pitch_buf+(PITCH_MAX_PERIOD>>1), pitch_buf, PITCH_FRAME_SIZE,
+ PITCH_MAX_PERIOD-3*PITCH_MIN_PERIOD, &pitch_index);
+ pitch_index = PITCH_MAX_PERIOD-pitch_index;
+
+ gain = remove_doubling(pitch_buf, PITCH_MAX_PERIOD, PITCH_MIN_PERIOD,
+ PITCH_FRAME_SIZE, &pitch_index, st->last_period, st->last_gain);
+ st->last_period = pitch_index;
+ st->last_gain = gain;
+ for (i=0;i<WINDOW_SIZE;i++)
+ p[i] = st->pitch_buf[PITCH_BUF_SIZE-WINDOW_SIZE-pitch_index+i];
+ apply_window(p);
+ forward_transform(P, p);
+ compute_band_energy(Ep, P);
+ compute_band_corr(Exp, X, P);
+ for (i=0;i<NB_BANDS;i++) Exp[i] = Exp[i]/sqrt(.001+Ex[i]*Ep[i]);
+ dct(tmp, Exp);
+ for (i=0;i<NB_DELTA_CEPS;i++) features[NB_BANDS+2*NB_DELTA_CEPS+i] = tmp[i];
+ features[NB_BANDS+2*NB_DELTA_CEPS] -= 1.3;
+ features[NB_BANDS+2*NB_DELTA_CEPS+1] -= 0.9;
+ features[NB_BANDS+3*NB_DELTA_CEPS] = .01*(pitch_index-300);
+ logMax = -2;
+ follow = -2;
+ for (i=0;i<NB_BANDS;i++) {
+ Ly[i] = log10(1e-2+Ex[i]);
+ Ly[i] = MAX16(logMax-7, MAX16(follow-1.5, Ly[i]));
+ logMax = MAX16(logMax, Ly[i]);
+ follow = MAX16(follow-1.5, Ly[i]);
+ E += Ex[i];
+ }
+ if (!TRAINING && E < 0.04) {
+ /* If there's no audio, avoid messing up the state. */
+ RNN_CLEAR(features, NB_FEATURES);
+ return 1;
+ }
+ dct(features, Ly);
+ features[0] -= 12;
+ features[1] -= 4;
+ ceps_0 = st->cepstral_mem[st->memid];
+ ceps_1 = (st->memid < 1) ? st->cepstral_mem[CEPS_MEM+st->memid-1] : st->cepstral_mem[st->memid-1];
+ ceps_2 = (st->memid < 2) ? st->cepstral_mem[CEPS_MEM+st->memid-2] : st->cepstral_mem[st->memid-2];
+ for (i=0;i<NB_BANDS;i++) ceps_0[i] = features[i];
+ st->memid++;
+ for (i=0;i<NB_DELTA_CEPS;i++) {
+ features[i] = ceps_0[i] + ceps_1[i] + ceps_2[i];
+ features[NB_BANDS+i] = ceps_0[i] - ceps_2[i];
+ features[NB_BANDS+NB_DELTA_CEPS+i] = ceps_0[i] - 2*ceps_1[i] + ceps_2[i];
+ }
+ /* Spectral variability features. */
+ if (st->memid == CEPS_MEM) st->memid = 0;
+ for (i=0;i<CEPS_MEM;i++)
+ {
+ int j;
+ float mindist = 1e15f;
+ for (j=0;j<CEPS_MEM;j++)
+ {
+ int k;
+ float dist=0;
+ for (k=0;k<NB_BANDS;k++)
+ {
+ float tmp;
+ tmp = st->cepstral_mem[i][k] - st->cepstral_mem[j][k];
+ dist += tmp*tmp;
+ }
+ if (j!=i)
+ mindist = MIN32(mindist, dist);
+ }
+ spec_variability += mindist;
+ }
+ features[NB_BANDS+3*NB_DELTA_CEPS+1] = spec_variability/CEPS_MEM-2.1;
+ return TRAINING && E < 0.1;
+}
+
+static void frame_synthesis(DenoiseState *st, float *out, const kiss_fft_cpx *y) {
+ float x[WINDOW_SIZE];
+ int i;
+ inverse_transform(x, y);
+ apply_window(x);
+ for (i=0;i<FRAME_SIZE;i++) out[i] = x[i] + st->synthesis_mem[i];
+ RNN_COPY(st->synthesis_mem, &x[FRAME_SIZE], FRAME_SIZE);
+}
+
+static void biquad(float *y, float mem[2], const float *x, const float *b, const float *a, int N) {
+ int i;
+ for (i=0;i<N;i++) {
+ float xi, yi;
+ xi = x[i];
+ yi = x[i] + mem[0];
+ mem[0] = mem[1] + (b[0]*(double)xi - a[0]*(double)yi);
+ mem[1] = (b[1]*(double)xi - a[1]*(double)yi);
+ y[i] = yi;
+ }
+}
+
+void pitch_filter(kiss_fft_cpx *X, const kiss_fft_cpx *P, const float *Ex, const float *Ep,
+ const float *Exp, const float *g) {
+ int i;
+ float r[NB_BANDS];
+ float rf[FREQ_SIZE] = {0};
+ for (i=0;i<NB_BANDS;i++) {
+#if 0
+ if (Exp[i]>g[i]) r[i] = 1;
+ else r[i] = Exp[i]*(1-g[i])/(.001 + g[i]*(1-Exp[i]));
+ r[i] = MIN16(1, MAX16(0, r[i]));
+#else
+ if (Exp[i]>g[i]) r[i] = 1;
+ else r[i] = SQUARE(Exp[i])*(1-SQUARE(g[i]))/(.001 + SQUARE(g[i])*(1-SQUARE(Exp[i])));
+ r[i] = sqrt(MIN16(1, MAX16(0, r[i])));
+#endif
+ r[i] *= sqrt(Ex[i]/(1e-8+Ep[i]));
+ }
+ interp_band_gain(rf, r);
+ for (i=0;i<FREQ_SIZE;i++) {
+ X[i].r += rf[i]*P[i].r;
+ X[i].i += rf[i]*P[i].i;
+ }
+ float newE[NB_BANDS];
+ compute_band_energy(newE, X);
+ float norm[NB_BANDS];
+ float normf[FREQ_SIZE]={0};
+ for (i=0;i<NB_BANDS;i++) {
+ norm[i] = sqrt(Ex[i]/(1e-8+newE[i]));
+ }
+ interp_band_gain(normf, norm);
+ for (i=0;i<FREQ_SIZE;i++) {
+ X[i].r *= normf[i];
+ X[i].i *= normf[i];
+ }
+}
+
+float rnnoise_process_frame(DenoiseState *st, float *out, const float *in) {
+ int i;
+ kiss_fft_cpx X[FREQ_SIZE];
+ kiss_fft_cpx P[WINDOW_SIZE];
+ float x[FRAME_SIZE];
+ float Ex[NB_BANDS], Ep[NB_BANDS];
+ float Exp[NB_BANDS];
+ float features[NB_FEATURES];
+ float g[NB_BANDS];
+ float gf[FREQ_SIZE]={1};
+ float vad_prob = 0;
+ int silence;
+ static const float a_hp[2] = {-1.99599, 0.99600};
+ static const float b_hp[2] = {-2, 1};
+ biquad(x, st->mem_hp_x, in, b_hp, a_hp, FRAME_SIZE);
+ silence = compute_frame_features(st, X, P, Ex, Ep, Exp, features, x);
+
+ if (!silence) {
+ compute_rnn(&st->rnn, g, &vad_prob, features);
+ pitch_filter(X, P, Ex, Ep, Exp, g);
+ for (i=0;i<NB_BANDS;i++) {
+ float alpha = .6f;
+ g[i] = MAX16(g[i], alpha*st->lastg[i]);
+ st->lastg[i] = g[i];
+ }
+ interp_band_gain(gf, g);
+#if 1
+ for (i=0;i<FREQ_SIZE;i++) {
+ X[i].r *= gf[i];
+ X[i].i *= gf[i];
+ }
+#endif
+ }
+
+ frame_synthesis(st, out, X);
+ return vad_prob;
+}
+
+#if TRAINING
+
+static float uni_rand() {
+ return rand()/(double)RAND_MAX-.5;
+}
+
+static void rand_resp(float *a, float *b) {
+ a[0] = .75*uni_rand();
+ a[1] = .75*uni_rand();
+ b[0] = .75*uni_rand();
+ b[1] = .75*uni_rand();
+}
+
+int main(int argc, char **argv) {
+ int i;
+ int count=0;
+ static const float a_hp[2] = {-1.99599, 0.99600};
+ static const float b_hp[2] = {-2, 1};
+ float a_noise[2] = {0};
+ float b_noise[2] = {0};
+ float a_sig[2] = {0};
+ float b_sig[2] = {0};
+ float mem_hp_x[2]={0};
+ float mem_hp_n[2]={0};
+ float mem_resp_x[2]={0};
+ float mem_resp_n[2]={0};
+ float x[FRAME_SIZE];
+ float n[FRAME_SIZE];
+ float xn[FRAME_SIZE];
+ int vad_cnt=0;
+ int gain_change_count=0;
+ float speech_gain = 1, noise_gain = 1;
+ FILE *f1, *f2;
+ int maxCount;
+ DenoiseState *st;
+ DenoiseState *noise_state;
+ DenoiseState *noisy;
+ st = rnnoise_create(NULL);
+ noise_state = rnnoise_create(NULL);
+ noisy = rnnoise_create(NULL);
+ if (argc!=4) {
+ fprintf(stderr, "usage: %s <speech> <noise> <count>\n", argv[0]);
+ return 1;
+ }
+ f1 = fopen(argv[1], "r");
+ f2 = fopen(argv[2], "r");
+ maxCount = atoi(argv[3]);
+ for(i=0;i<150;i++) {
+ short tmp[FRAME_SIZE];
+ fread(tmp, sizeof(short), FRAME_SIZE, f2);
+ }
+ while (1) {
+ kiss_fft_cpx X[FREQ_SIZE], Y[FREQ_SIZE], N[FREQ_SIZE], P[WINDOW_SIZE];
+ float Ex[NB_BANDS], Ey[NB_BANDS], En[NB_BANDS], Ep[NB_BANDS];
+ float Exp[NB_BANDS];
+ float Ln[NB_BANDS];
+ float features[NB_FEATURES];
+ float g[NB_BANDS];
+ short tmp[FRAME_SIZE];
+ float vad=0;
+ float E=0;
+ if (count==maxCount) break;
+ if ((count%1000)==0) fprintf(stderr, "%d\r", count);
+ if (++gain_change_count > 2821) {
+ speech_gain = pow(10., (-40+(rand()%60))/20.);
+ noise_gain = pow(10., (-30+(rand()%50))/20.);
+ if (rand()%10==0) noise_gain = 0;
+ noise_gain *= speech_gain;
+ if (rand()%10==0) speech_gain = 0;
+ gain_change_count = 0;
+ rand_resp(a_noise, b_noise);
+ rand_resp(a_sig, b_sig);
+ lowpass = FREQ_SIZE * 3000./24000. * pow(50., rand()/(double)RAND_MAX);
+ for (i=0;i<NB_BANDS;i++) {
+ if (eband5ms[i]<<FRAME_SIZE_SHIFT > lowpass) {
+ band_lp = i;
+ break;
+ }
+ }
+ }
+ if (speech_gain != 0) {
+ fread(tmp, sizeof(short), FRAME_SIZE, f1);
+ if (feof(f1)) {
+ rewind(f1);
+ fread(tmp, sizeof(short), FRAME_SIZE, f1);
+ }
+ for (i=0;i<FRAME_SIZE;i++) x[i] = speech_gain*tmp[i];
+ for (i=0;i<FRAME_SIZE;i++) E += tmp[i]*(float)tmp[i];
+ } else {
+ for (i=0;i<FRAME_SIZE;i++) x[i] = 0;
+ E = 0;
+ }
+ if (noise_gain!=0) {
+ fread(tmp, sizeof(short), FRAME_SIZE, f2);
+ if (feof(f2)) {
+ rewind(f2);
+ fread(tmp, sizeof(short), FRAME_SIZE, f2);
+ }
+ for (i=0;i<FRAME_SIZE;i++) n[i] = noise_gain*tmp[i];
+ } else {
+ for (i=0;i<FRAME_SIZE;i++) n[i] = 0;
+ }
+ biquad(x, mem_hp_x, x, b_hp, a_hp, FRAME_SIZE);
+ biquad(x, mem_resp_x, x, b_sig, a_sig, FRAME_SIZE);
+ biquad(n, mem_hp_n, n, b_hp, a_hp, FRAME_SIZE);
+ biquad(n, mem_resp_n, n, b_noise, a_noise, FRAME_SIZE);
+ for (i=0;i<FRAME_SIZE;i++) xn[i] = x[i] + n[i];
+ if (E > 1e9f) {
+ vad_cnt=0;
+ } else if (E > 1e8f) {
+ vad_cnt -= 5;
+ } else if (E > 1e7f) {
+ vad_cnt++;
+ } else {
+ vad_cnt+=2;
+ }
+ if (vad_cnt < 0) vad_cnt = 0;
+ if (vad_cnt > 15) vad_cnt = 15;
+
+ if (vad_cnt >= 10) vad = 0;
+ else if (vad_cnt > 0) vad = 0.5f;
+ else vad = 1.f;
+
+ frame_analysis(st, Y, Ey, x);
+ frame_analysis(noise_state, N, En, n);
+ for (i=0;i<NB_BANDS;i++) Ln[i] = log10(1e-2+En[i]);
+ int silence = compute_frame_features(noisy, X, P, Ex, Ep, Exp, features, xn);
+ pitch_filter(X, P, Ex, Ep, Exp, g);
+ //printf("%f %d\n", noisy->last_gain, noisy->last_period);
+ for (i=0;i<NB_BANDS;i++) {
+ g[i] = sqrt((Ey[i]+1e-3)/(Ex[i]+1e-3));
+ if (g[i] > 1) g[i] = 1;
+ if (silence || i > band_lp) g[i] = -1;
+ if (Ey[i] < 5e-2 && Ex[i] < 5e-2) g[i] = -1;
+ if (vad==0 && noise_gain==0) g[i] = -1;
+ }
+ count++;
+#if 1
+ fwrite(features, sizeof(float), NB_FEATURES, stdout);
+ fwrite(g, sizeof(float), NB_BANDS, stdout);
+ fwrite(Ln, sizeof(float), NB_BANDS, stdout);
+ fwrite(&vad, sizeof(float), 1, stdout);
+#endif
+ }
+ fprintf(stderr, "matrix size: %d x %d\n", count, NB_FEATURES + 2*NB_BANDS + 1);
+ fclose(f1);
+ fclose(f2);
+ return 0;
+}
+
+#endif
diff --git a/src/kiss_fft.c b/src/kiss_fft.c
new file mode 100644
index 0000000..922dacc
--- /dev/null
+++ b/src/kiss_fft.c
@@ -0,0 +1,601 @@
+/*Copyright (c) 2003-2004, Mark Borgerding
+ Lots of modifications by Jean-Marc Valin
+ Copyright (c) 2005-2007, Xiph.Org Foundation
+ Copyright (c) 2008, Xiph.Org Foundation, CSIRO
+
+ All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ POSSIBILITY OF SUCH DAMAGE.*/
+
+/* This code is originally from Mark Borgerding's KISS-FFT but has been
+ heavily modified to better suit Opus */
+
+#ifndef SKIP_CONFIG_H
+# ifdef HAVE_CONFIG_H
+# include "config.h"
+# endif
+#endif
+
+#include "_kiss_fft_guts.h"
+#define CUSTOM_MODES
+
+/* The guts header contains all the multiplication and addition macros that are defined for
+ complex numbers. It also delares the kf_ internal functions.
+*/
+
+static void kf_bfly2(
+ kiss_fft_cpx * Fout,
+ int m,
+ int N
+ )
+{
+ kiss_fft_cpx * Fout2;
+ int i;
+ (void)m;
+#ifdef CUSTOM_MODES
+ if (m==1)
+ {
+ celt_assert(m==1);
+ for (i=0;i<N;i++)
+ {
+ kiss_fft_cpx t;
+ Fout2 = Fout + 1;
+ t = *Fout2;
+ C_SUB( *Fout2 , *Fout , t );
+ C_ADDTO( *Fout , t );
+ Fout += 2;
+ }
+ } else
+#endif
+ {
+ opus_val16 tw;
+ tw = QCONST16(0.7071067812f, 15);
+ /* We know that m==4 here because the radix-2 is just after a radix-4 */
+ celt_assert(m==4);
+ for (i=0;i<N;i++)
+ {
+ kiss_fft_cpx t;
+ Fout2 = Fout + 4;
+ t = Fout2[0];
+ C_SUB( Fout2[0] , Fout[0] , t );
+ C_ADDTO( Fout[0] , t );
+
+ t.r = S_MUL(ADD32_ovflw(Fout2[1].r, Fout2[1].i), tw);
+ t.i = S_MUL(SUB32_ovflw(Fout2[1].i, Fout2[1].r), tw);
+ C_SUB( Fout2[1] , Fout[1] , t );
+ C_ADDTO( Fout[1] , t );
+
+ t.r = Fout2[2].i;
+ t.i = -Fout2[2].r;
+ C_SUB( Fout2[2] , Fout[2] , t );
+ C_ADDTO( Fout[2] , t );
+
+ t.r = S_MUL(SUB32_ovflw(Fout2[3].i, Fout2[3].r), tw);
+ t.i = S_MUL(NEG32_ovflw(ADD32_ovflw(Fout2[3].i, Fout2[3].r)), tw);
+ C_SUB( Fout2[3] , Fout[3] , t );
+ C_ADDTO( Fout[3] , t );
+ Fout += 8;
+ }
+ }
+}
+
+static void kf_bfly4(
+ kiss_fft_cpx * Fout,
+ const size_t fstride,
+ const kiss_fft_state *st,
+ int m,
+ int N,
+ int mm
+ )
+{
+ int i;
+
+ if (m==1)
+ {
+ /* Degenerate case where all the twiddles are 1. */
+ for (i=0;i<N;i++)
+ {
+ kiss_fft_cpx scratch0, scratch1;
+
+ C_SUB( scratch0 , *Fout, Fout[2] );
+ C_ADDTO(*Fout, Fout[2]);
+ C_ADD( scratch1 , Fout[1] , Fout[3] );
+ C_SUB( Fout[2], *Fout, scratch1 );
+ C_ADDTO( *Fout , scratch1 );
+ C_SUB( scratch1 , Fout[1] , Fout[3] );
+
+ Fout[1].r = ADD32_ovflw(scratch0.r, scratch1.i);
+ Fout[1].i = SUB32_ovflw(scratch0.i, scratch1.r);
+ Fout[3].r = SUB32_ovflw(scratch0.r, scratch1.i);
+ Fout[3].i = ADD32_ovflw(scratch0.i, scratch1.r);
+ Fout+=4;
+ }
+ } else {
+ int j;
+ kiss_fft_cpx scratch[6];
+ const kiss_twiddle_cpx *tw1,*tw2,*tw3;
+ const int m2=2*m;
+ const int m3=3*m;
+ kiss_fft_cpx * Fout_beg = Fout;
+ for (i=0;i<N;i++)
+ {
+ Fout = Fout_beg + i*mm;
+ tw3 = tw2 = tw1 = st->twiddles;
+ /* m is guaranteed to be a multiple of 4. */
+ for (j=0;j<m;j++)
+ {
+ C_MUL(scratch[0],Fout[m] , *tw1 );
+ C_MUL(scratch[1],Fout[m2] , *tw2 );
+ C_MUL(scratch[2],Fout[m3] , *tw3 );
+
+ C_SUB( scratch[5] , *Fout, scratch[1] );
+ C_ADDTO(*Fout, scratch[1]);
+ C_ADD( scratch[3] , scratch[0] , scratch[2] );
+ C_SUB( scratch[4] , scratch[0] , scratch[2] );
+ C_SUB( Fout[m2], *Fout, scratch[3] );
+ tw1 += fstride;
+ tw2 += fstride*2;
+ tw3 += fstride*3;
+ C_ADDTO( *Fout , scratch[3] );
+
+ Fout[m].r = ADD32_ovflw(scratch[5].r, scratch[4].i);
+ Fout[m].i = SUB32_ovflw(scratch[5].i, scratch[4].r);
+ Fout[m3].r = SUB32_ovflw(scratch[5].r, scratch[4].i);
+ Fout[m3].i = ADD32_ovflw(scratch[5].i, scratch[4].r);
+ ++Fout;
+ }
+ }
+ }
+}
+
+
+#ifndef RADIX_TWO_ONLY
+
+static void kf_bfly3(
+ kiss_fft_cpx * Fout,
+ const size_t fstride,
+ const kiss_fft_state *st,
+ int m,
+ int N,
+ int mm
+ )
+{
+ int i;
+ size_t k;
+ const size_t m2 = 2*m;
+ const kiss_twiddle_cpx *tw1,*tw2;
+ kiss_fft_cpx scratch[5];
+ kiss_twiddle_cpx epi3;
+
+ kiss_fft_cpx * Fout_beg = Fout;
+#ifdef FIXED_POINT
+ /*epi3.r = -16384;*/ /* Unused */
+ epi3.i = -28378;
+#else
+ epi3 = st->twiddles[fstride*m];
+#endif
+ for (i=0;i<N;i++)
+ {
+ Fout = Fout_beg + i*mm;
+ tw1=tw2=st->twiddles;
+ /* For non-custom modes, m is guaranteed to be a multiple of 4. */
+ k=m;
+ do {
+
+ C_MUL(scratch[1],Fout[m] , *tw1);
+ C_MUL(scratch[2],Fout[m2] , *tw2);
+
+ C_ADD(scratch[3],scratch[1],scratch[2]);
+ C_SUB(scratch[0],scratch[1],scratch[2]);
+ tw1 += fstride;
+ tw2 += fstride*2;
+
+ Fout[m].r = SUB32_ovflw(Fout->r, HALF_OF(scratch[3].r));
+ Fout[m].i = SUB32_ovflw(Fout->i, HALF_OF(scratch[3].i));
+
+ C_MULBYSCALAR( scratch[0] , epi3.i );
+
+ C_ADDTO(*Fout,scratch[3]);
+
+ Fout[m2].r = ADD32_ovflw(Fout[m].r, scratch[0].i);
+ Fout[m2].i = SUB32_ovflw(Fout[m].i, scratch[0].r);
+
+ Fout[m].r = SUB32_ovflw(Fout[m].r, scratch[0].i);
+ Fout[m].i = ADD32_ovflw(Fout[m].i, scratch[0].r);
+
+ ++Fout;
+ } while(--k);
+ }
+}
+
+
+#ifndef OVERRIDE_kf_bfly5
+static void kf_bfly5(
+ kiss_fft_cpx * Fout,
+ const size_t fstride,
+ const kiss_fft_state *st,
+ int m,
+ int N,
+ int mm
+ )
+{
+ kiss_fft_cpx *Fout0,*Fout1,*Fout2,*Fout3,*Fout4;
+ int i, u;
+ kiss_fft_cpx scratch[13];
+ const kiss_twiddle_cpx *tw;
+ kiss_twiddle_cpx ya,yb;
+ kiss_fft_cpx * Fout_beg = Fout;
+
+#ifdef FIXED_POINT
+ ya.r = 10126;
+ ya.i = -31164;
+ yb.r = -26510;
+ yb.i = -19261;
+#else
+ ya = st->twiddles[fstride*m];
+ yb = st->twiddles[fstride*2*m];
+#endif
+ tw=st->twiddles;
+
+ for (i=0;i<N;i++)
+ {
+ Fout = Fout_beg + i*mm;
+ Fout0=Fout;
+ Fout1=Fout0+m;
+ Fout2=Fout0+2*m;
+ Fout3=Fout0+3*m;
+ Fout4=Fout0+4*m;
+
+ /* For non-custom modes, m is guaranteed to be a multiple of 4. */
+ for ( u=0; u<m; ++u ) {
+ scratch[0] = *Fout0;
+
+ C_MUL(scratch[1] ,*Fout1, tw[u*fstride]);
+ C_MUL(scratch[2] ,*Fout2, tw[2*u*fstride]);
+ C_MUL(scratch[3] ,*Fout3, tw[3*u*fstride]);
+ C_MUL(scratch[4] ,*Fout4, tw[4*u*fstride]);
+
+ C_ADD( scratch[7],scratch[1],scratch[4]);
+ C_SUB( scratch[10],scratch[1],scratch[4]);
+ C_ADD( scratch[8],scratch[2],scratch[3]);
+ C_SUB( scratch[9],scratch[2],scratch[3]);
+
+ Fout0->r = ADD32_ovflw(Fout0->r, ADD32_ovflw(scratch[7].r, scratch[8].r));
+ Fout0->i = ADD32_ovflw(Fout0->i, ADD32_ovflw(scratch[7].i, scratch[8].i));
+
+ scratch[5].r = ADD32_ovflw(scratch[0].r, ADD32_ovflw(S_MUL(scratch[7].r,ya.r), S_MUL(scratch[8].r,yb.r)));
+ scratch[5].i = ADD32_ovflw(scratch[0].i, ADD32_ovflw(S_MUL(scratch[7].i,ya.r), S_MUL(scratch[8].i,yb.r)));
+
+ scratch[6].r = ADD32_ovflw(S_MUL(scratch[10].i,ya.i), S_MUL(scratch[9].i,yb.i));
+ scratch[6].i = NEG32_ovflw(ADD32_ovflw(S_MUL(scratch[10].r,ya.i), S_MUL(scratch[9].r,yb.i)));
+
+ C_SUB(*Fout1,scratch[5],scratch[6]);
+ C_ADD(*Fout4,scratch[5],scratch[6]);
+
+ scratch[11].r = ADD32_ovflw(scratch[0].r, ADD32_ovflw(S_MUL(scratch[7].r,yb.r), S_MUL(scratch[8].r,ya.r)));
+ scratch[11].i = ADD32_ovflw(scratch[0].i, ADD32_ovflw(S_MUL(scratch[7].i,yb.r), S_MUL(scratch[8].i,ya.r)));
+ scratch[12].r = SUB32_ovflw(S_MUL(scratch[9].i,ya.i), S_MUL(scratch[10].i,yb.i));
+ scratch[12].i = SUB32_ovflw(S_MUL(scratch[10].r,yb.i), S_MUL(scratch[9].r,ya.i));
+
+ C_ADD(*Fout2,scratch[11],scratch[12]);
+ C_SUB(*Fout3,scratch[11],scratch[12]);
+
+ ++Fout0;++Fout1;++Fout2;++Fout3;++Fout4;
+ }
+ }
+}
+#endif /* OVERRIDE_kf_bfly5 */
+
+
+#endif
+
+
+#ifdef CUSTOM_MODES
+
+static
+void compute_bitrev_table(
+ int Fout,
+ opus_int16 *f,
+ const size_t fstride,
+ int in_stride,
+ opus_int16 * factors,
+ const kiss_fft_state *st
+ )
+{
+ const int p=*factors++; /* the radix */
+ const int m=*factors++; /* stage's fft length/p */
+
+ /*printf ("fft %d %d %d %d %d %d\n", p*m, m, p, s2, fstride*in_stride, N);*/
+ if (m==1)
+ {
+ int j;
+ for (j=0;j<p;j++)
+ {
+ *f = Fout+j;
+ f += fstride*in_stride;
+ }
+ } else {
+ int j;
+ for (j=0;j<p;j++)
+ {
+ compute_bitrev_table( Fout , f, fstride*p, in_stride, factors,st);
+ f += fstride*in_stride;
+ Fout += m;
+ }
+ }
+}
+
+/* facbuf is populated by p1,m1,p2,m2, ...
+ where
+ p[i] * m[i] = m[i-1]
+ m0 = n */
+static
+int kf_factor(int n,opus_int16 * facbuf)
+{
+ int p=4;
+ int i;
+ int stages=0;
+ int nbak = n;
+
+ /*factor out powers of 4, powers of 2, then any remaining primes */
+ do {
+ while (n % p) {
+ switch (p) {
+ case 4: p = 2; break;
+ case 2: p = 3; break;
+ default: p += 2; break;
+ }
+ if (p>32000 || (opus_int32)p*(opus_int32)p > n)
+ p = n; /* no more factors, skip to end */
+ }
+ n /= p;
+#ifdef RADIX_TWO_ONLY
+ if (p!=2 && p != 4)
+#else
+ if (p>5)
+#endif
+ {
+ return 0;
+ }
+ facbuf[2*stages] = p;
+ if (p==2 && stages > 1)
+ {
+ facbuf[2*stages] = 4;
+ facbuf[2] = 2;
+ }
+ stages++;
+ } while (n > 1);
+ n = nbak;
+ /* Reverse the order to get the radix 4 at the end, so we can use the
+ fast degenerate case. It turns out that reversing the order also
+ improves the noise behaviour. */
+ for (i=0;i<stages/2;i++)
+ {
+ int tmp;
+ tmp = facbuf[2*i];
+ facbuf[2*i] = facbuf[2*(stages-i-1)];
+ facbuf[2*(stages-i-1)] = tmp;
+ }
+ for (i=0;i<stages;i++)
+ {
+ n /= facbuf[2*i];
+ facbuf[2*i+1] = n;
+ }
+ return 1;
+}
+
+static void compute_twiddles(kiss_twiddle_cpx *twiddles, int nfft)
+{
+ int i;
+#ifdef FIXED_POINT
+ for (i=0;i<nfft;++i) {
+ opus_val32 phase = -i;
+ kf_cexp2(twiddles+i, DIV32(SHL32(phase,17),nfft));
+ }
+#else
+ for (i=0;i<nfft;++i) {
+ const double pi=3.14159265358979323846264338327;
+ double phase = ( -2*pi /nfft ) * i;
+ kf_cexp(twiddles+i, phase );
+ }
+#endif
+}
+
+int opus_fft_alloc_arch_c(kiss_fft_state *st) {
+ (void)st;
+ return 0;
+}
+
+/*
+ *
+ * Allocates all necessary storage space for the fft and ifft.
+ * The return value is a contiguous block of memory. As such,
+ * It can be freed with free().
+ * */
+kiss_fft_state *opus_fft_alloc_twiddles(int nfft,void * mem,size_t * lenmem,
+ const kiss_fft_state *base, int arch)
+{
+ kiss_fft_state *st=NULL;
+ size_t memneeded = sizeof(struct kiss_fft_state); /* twiddle factors*/
+
+ if ( lenmem==NULL ) {
+ st = ( kiss_fft_state*)KISS_FFT_MALLOC( memneeded );
+ }else{
+ if (mem != NULL && *lenmem >= memneeded)
+ st = (kiss_fft_state*)mem;
+ *lenmem = memneeded;
+ }
+ if (st) {
+ opus_int16 *bitrev;
+ kiss_twiddle_cpx *twiddles;
+
+ st->nfft=nfft;
+#ifdef FIXED_POINT
+ st->scale_shift = celt_ilog2(st->nfft);
+ if (st->nfft == 1<<st->scale_shift)
+ st->scale = Q15ONE;
+ else
+ st->scale = (1073741824+st->nfft/2)/st->nfft>>(15-st->scale_shift);
+#else
+ st->scale = 1.f/nfft;
+#endif
+ if (base != NULL)
+ {
+ st->twiddles = base->twiddles;
+ st->shift = 0;
+ while (st->shift < 32 && nfft<<st->shift != base->nfft)
+ st->shift++;
+ if (st->shift>=32)
+ goto fail;
+ } else {
+ st->twiddles = twiddles = (kiss_twiddle_cpx*)KISS_FFT_MALLOC(sizeof(kiss_twiddle_cpx)*nfft);
+ compute_twiddles(twiddles, nfft);
+ st->shift = -1;
+ }
+ if (!kf_factor(nfft,st->factors))
+ {
+ goto fail;
+ }
+
+ /* bitrev */
+ st->bitrev = bitrev = (opus_int16*)KISS_FFT_MALLOC(sizeof(opus_int16)*nfft);
+ if (st->bitrev==NULL)
+ goto fail;
+ compute_bitrev_table(0, bitrev, 1,1, st->factors,st);
+
+ /* Initialize architecture specific fft parameters */
+ if (opus_fft_alloc_arch(st, arch))
+ goto fail;
+ }
+ return st;
+fail:
+ opus_fft_free(st, arch);
+ return NULL;
+}
+
+kiss_fft_state *opus_fft_alloc(int nfft,void * mem,size_t * lenmem, int arch)
+{
+ return opus_fft_alloc_twiddles(nfft, mem, lenmem, NULL, arch);
+}
+
+void opus_fft_free_arch_c(kiss_fft_state *st) {
+ (void)st;
+}
+
+void opus_fft_free(const kiss_fft_state *cfg, int arch)
+{
+ if (cfg)
+ {
+ opus_fft_free_arch((kiss_fft_state *)cfg, arch);
+ opus_free((opus_int16*)cfg->bitrev);
+ if (cfg->shift < 0)
+ opus_free((kiss_twiddle_cpx*)cfg->twiddles);
+ opus_free((kiss_fft_state*)cfg);
+ }
+}
+
+#endif /* CUSTOM_MODES */
+
+void opus_fft_impl(const kiss_fft_state *st,kiss_fft_cpx *fout)
+{
+ int m2, m;
+ int p;
+ int L;
+ int fstride[MAXFACTORS];
+ int i;
+ int shift;
+
+ /* st->shift can be -1 */
+ shift = st->shift>0 ? st->shift : 0;
+
+ fstride[0] = 1;
+ L=0;
+ do {
+ p = st->factors[2*L];
+ m = st->factors[2*L+1];
+ fstride[L+1] = fstride[L]*p;
+ L++;
+ } while(m!=1);
+ m = st->factors[2*L-1];
+ for (i=L-1;i>=0;i--)
+ {
+ if (i!=0)
+ m2 = st->factors[2*i-1];
+ else
+ m2 = 1;
+ switch (st->factors[2*i])
+ {
+ case 2:
+ kf_bfly2(fout, m, fstride[i]);
+ break;
+ case 4:
+ kf_bfly4(fout,fstride[i]<<shift,st,m, fstride[i], m2);
+ break;
+ #ifndef RADIX_TWO_ONLY
+ case 3:
+ kf_bfly3(fout,fstride[i]<<shift,st,m, fstride[i], m2);
+ break;
+ case 5:
+ kf_bfly5(fout,fstride[i]<<shift,st,m, fstride[i], m2);
+ break;
+ #endif
+ }
+ m = m2;
+ }
+}
+
+void opus_fft_c(const kiss_fft_state *st,const kiss_fft_cpx *fin,kiss_fft_cpx *fout)
+{
+ int i;
+ opus_val16 scale;
+#ifdef FIXED_POINT
+ /* Allows us to scale with MULT16_32_Q16(), which is faster than
+ MULT16_32_Q15() on ARM. */
+ int scale_shift = st->scale_shift-1;
+#endif
+ scale = st->scale;
+
+ celt_assert2 (fin != fout, "In-place FFT not supported");
+ /* Bit-reverse the input */
+ for (i=0;i<st->nfft;i++)
+ {
+ kiss_fft_cpx x = fin[i];
+ fout[st->bitrev[i]].r = SHR32(MULT16_32_Q16(scale, x.r), scale_shift);
+ fout[st->bitrev[i]].i = SHR32(MULT16_32_Q16(scale, x.i), scale_shift);
+ }
+ opus_fft_impl(st, fout);
+}
+
+
+void opus_ifft_c(const kiss_fft_state *st,const kiss_fft_cpx *fin,kiss_fft_cpx *fout)
+{
+ int i;
+ celt_assert2 (fin != fout, "In-place FFT not supported");
+ /* Bit-reverse the input */
+ for (i=0;i<st->nfft;i++)
+ fout[st->bitrev[i]] = fin[i];
+ for (i=0;i<st->nfft;i++)
+ fout[i].i = -fout[i].i;
+ opus_fft_impl(st, fout);
+ for (i=0;i<st->nfft;i++)
+ fout[i].i = -fout[i].i;
+}
diff --git a/src/kiss_fft.h b/src/kiss_fft.h
new file mode 100644
index 0000000..b2fe9a4
--- /dev/null
+++ b/src/kiss_fft.h
@@ -0,0 +1,203 @@
+/*Copyright (c) 2003-2004, Mark Borgerding
+ Lots of modifications by Jean-Marc Valin
+ Copyright (c) 2005-2007, Xiph.Org Foundation
+ Copyright (c) 2008, Xiph.Org Foundation, CSIRO
+
+ All rights reserved.
+
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are met:
+
+ * Redistributions of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ POSSIBILITY OF SUCH DAMAGE.*/
+
+#ifndef KISS_FFT_H
+#define KISS_FFT_H
+
+#include <stdlib.h>
+#include <math.h>
+#include "arch.h"
+
+#include <stdlib.h>
+#define opus_alloc(x) malloc(x)
+#define opus_free(x) free(x)
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#ifdef USE_SIMD
+# include <xmmintrin.h>
+# define kiss_fft_scalar __m128
+#define KISS_FFT_MALLOC(nbytes) memalign(16,nbytes)
+#else
+#define KISS_FFT_MALLOC opus_alloc
+#endif
+
+#ifdef FIXED_POINT
+#include "arch.h"
+
+# define kiss_fft_scalar opus_int32
+# define kiss_twiddle_scalar opus_int16
+
+
+#else
+# ifndef kiss_fft_scalar
+/* default is float */
+# define kiss_fft_scalar float
+# define kiss_twiddle_scalar float
+# define KF_SUFFIX _celt_single
+# endif
+#endif
+
+typedef struct {
+ kiss_fft_scalar r;
+ kiss_fft_scalar i;
+}kiss_fft_cpx;
+
+typedef struct {
+ kiss_twiddle_scalar r;
+ kiss_twiddle_scalar i;
+}kiss_twiddle_cpx;
+
+#define MAXFACTORS 8
+/* e.g. an fft of length 128 has 4 factors
+ as far as kissfft is concerned
+ 4*4*4*2
+ */
+
+typedef struct arch_fft_state{
+ int is_supported;
+ void *priv;
+} arch_fft_state;
+
+typedef struct kiss_fft_state{
+ int nfft;
+ opus_val16 scale;
+#ifdef FIXED_POINT
+ int scale_shift;
+#endif
+ int shift;
+ opus_int16 factors[2*MAXFACTORS];
+ const opus_int16 *bitrev;
+ const kiss_twiddle_cpx *twiddles;
+ arch_fft_state *arch_fft;
+} kiss_fft_state;
+
+#if defined(HAVE_ARM_NE10)
+#include "arm/fft_arm.h"
+#endif
+
+/*typedef struct kiss_fft_state* kiss_fft_cfg;*/
+
+/**
+ * opus_fft_alloc
+ *
+ * Initialize a FFT (or IFFT) algorithm's cfg/state buffer.
+ *
+ * typical usage: kiss_fft_cfg mycfg=opus_fft_alloc(1024,0,NULL,NULL);
+ *
+ * The return value from fft_alloc is a cfg buffer used internally
+ * by the fft routine or NULL.
+ *
+ * If lenmem is NULL, then opus_fft_alloc will allocate a cfg buffer using malloc.
+ * The returned value should be free()d when done to avoid memory leaks.
+ *
+ * The state can be placed in a user supplied buffer 'mem':
+ * If lenmem is not NULL and mem is not NULL and *lenmem is large enough,
+ * then the function places the cfg in mem and the size used in *lenmem
+ * and returns mem.
+ *
+ * If lenmem is not NULL and ( mem is NULL or *lenmem is not large enough),
+ * then the function returns NULL and places the minimum cfg
+ * buffer size in *lenmem.
+ * */
+
+kiss_fft_state *opus_fft_alloc_twiddles(int nfft,void * mem,size_t * lenmem, const kiss_fft_state *base, int arch);
+
+kiss_fft_state *opus_fft_alloc(int nfft,void * mem,size_t * lenmem, int arch);
+
+/**
+ * opus_fft(cfg,in_out_buf)
+ *
+ * Perform an FFT on a complex input buffer.
+ * for a forward FFT,
+ * fin should be f[0] , f[1] , ... ,f[nfft-1]
+ * fout will be F[0] , F[1] , ... ,F[nfft-1]
+ * Note that each element is complex and can be accessed like
+ f[k].r and f[k].i
+ * */
+void opus_fft_c(const kiss_fft_state *cfg,const kiss_fft_cpx *fin,kiss_fft_cpx *fout);
+void opus_ifft_c(const kiss_fft_state *cfg,const kiss_fft_cpx *fin,kiss_fft_cpx *fout);
+
+void opus_fft_impl(const kiss_fft_state *st,kiss_fft_cpx *fout);
+void opus_ifft_impl(const kiss_fft_state *st,kiss_fft_cpx *fout);
+
+void opus_fft_free(const kiss_fft_state *cfg, int arch);
+
+
+void opus_fft_free_arch_c(kiss_fft_state *st);
+int opus_fft_alloc_arch_c(kiss_fft_state *st);
+
+#if !defined(OVERRIDE_OPUS_FFT)
+/* Is run-time CPU detection enabled on this platform? */
+#if defined(OPUS_HAVE_RTCD) && (defined(HAVE_ARM_NE10))
+
+extern int (*const OPUS_FFT_ALLOC_ARCH_IMPL[OPUS_ARCHMASK+1])(
+ kiss_fft_state *st);
+
+#define opus_fft_alloc_arch(_st, arch) \
+ ((*OPUS_FFT_ALLOC_ARCH_IMPL[(arch)&OPUS_ARCHMASK])(_st))
+
+extern void (*const OPUS_FFT_FREE_ARCH_IMPL[OPUS_ARCHMASK+1])(
+ kiss_fft_state *st);
+#define opus_fft_free_arch(_st, arch) \
+ ((*OPUS_FFT_FREE_ARCH_IMPL[(arch)&OPUS_ARCHMASK])(_st))
+
+extern void (*const OPUS_FFT[OPUS_ARCHMASK+1])(const kiss_fft_state *cfg,
+ const kiss_fft_cpx *fin, kiss_fft_cpx *fout);
+#define opus_fft(_cfg, _fin, _fout, arch) \
+ ((*OPUS_FFT[(arch)&OPUS_ARCHMASK])(_cfg, _fin, _fout))
+
+extern void (*const OPUS_IFFT[OPUS_ARCHMASK+1])(const kiss_fft_state *cfg,
+ const kiss_fft_cpx *fin, kiss_fft_cpx *fout);
+#define opus_ifft(_cfg, _fin, _fout, arch) \
+ ((*OPUS_IFFT[(arch)&OPUS_ARCHMASK])(_cfg, _fin, _fout))
+
+#else /* else for if defined(OPUS_HAVE_RTCD) && (defined(HAVE_ARM_NE10)) */
+
+#define opus_fft_alloc_arch(_st, arch) \
+ ((void)(arch), opus_fft_alloc_arch_c(_st))
+
+#define opus_fft_free_arch(_st, arch) \
+ ((void)(arch), opus_fft_free_arch_c(_st))
+
+#define opus_fft(_cfg, _fin, _fout, arch) \
+ ((void)(arch), opus_fft_c(_cfg, _fin, _fout))
+
+#define opus_ifft(_cfg, _fin, _fout, arch) \
+ ((void)(arch), opus_ifft_c(_cfg, _fin, _fout))
+
+#endif /* end if defined(OPUS_HAVE_RTCD) && (defined(HAVE_ARM_NE10)) */
+#endif /* end if !defined(OVERRIDE_OPUS_FFT) */
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif
diff --git a/src/opus_types.h b/src/opus_types.h
new file mode 100644
index 0000000..7180826
--- /dev/null
+++ b/src/opus_types.h
@@ -0,0 +1,159 @@
+/* (C) COPYRIGHT 1994-2002 Xiph.Org Foundation */
+/* Modified by Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+/* opus_types.h based on ogg_types.h from libogg */
+
+/**
+ @file opus_types.h
+ @brief Opus reference implementation types
+*/
+#ifndef OPUS_TYPES_H
+#define OPUS_TYPES_H
+
+/* Use the real stdint.h if it's there (taken from Paul Hsieh's pstdint.h) */
+#if (defined(__STDC__) && __STDC__ && defined(__STDC_VERSION__) && __STDC_VERSION__ >= 199901L) || (defined(__GNUC__) && (defined(_STDINT_H) || defined(_STDINT_H_)) || defined (HAVE_STDINT_H))
+#include <stdint.h>
+
+ typedef int16_t opus_int16;
+ typedef uint16_t opus_uint16;
+ typedef int32_t opus_int32;
+ typedef uint32_t opus_uint32;
+#elif defined(_WIN32)
+
+# if defined(__CYGWIN__)
+# include <_G_config.h>
+ typedef _G_int32_t opus_int32;
+ typedef _G_uint32_t opus_uint32;
+ typedef _G_int16 opus_int16;
+ typedef _G_uint16 opus_uint16;
+# elif defined(__MINGW32__)
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+# elif defined(__MWERKS__)
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+# else
+ /* MSVC/Borland */
+ typedef __int32 opus_int32;
+ typedef unsigned __int32 opus_uint32;
+ typedef __int16 opus_int16;
+ typedef unsigned __int16 opus_uint16;
+# endif
+
+#elif defined(__MACOS__)
+
+# include <sys/types.h>
+ typedef SInt16 opus_int16;
+ typedef UInt16 opus_uint16;
+ typedef SInt32 opus_int32;
+ typedef UInt32 opus_uint32;
+
+#elif (defined(__APPLE__) && defined(__MACH__)) /* MacOS X Framework build */
+
+# include <sys/types.h>
+ typedef int16_t opus_int16;
+ typedef u_int16_t opus_uint16;
+ typedef int32_t opus_int32;
+ typedef u_int32_t opus_uint32;
+
+#elif defined(__BEOS__)
+
+ /* Be */
+# include <inttypes.h>
+ typedef int16 opus_int16;
+ typedef u_int16 opus_uint16;
+ typedef int32_t opus_int32;
+ typedef u_int32_t opus_uint32;
+
+#elif defined (__EMX__)
+
+ /* OS/2 GCC */
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+
+#elif defined (DJGPP)
+
+ /* DJGPP */
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+
+#elif defined(R5900)
+
+ /* PS2 EE */
+ typedef int opus_int32;
+ typedef unsigned opus_uint32;
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+
+#elif defined(__SYMBIAN32__)
+
+ /* Symbian GCC */
+ typedef signed short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef signed int opus_int32;
+ typedef unsigned int opus_uint32;
+
+#elif defined(CONFIG_TI_C54X) || defined (CONFIG_TI_C55X)
+
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef long opus_int32;
+ typedef unsigned long opus_uint32;
+
+#elif defined(CONFIG_TI_C6X)
+
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+
+#else
+
+ /* Give up, take a reasonable guess */
+ typedef short opus_int16;
+ typedef unsigned short opus_uint16;
+ typedef int opus_int32;
+ typedef unsigned int opus_uint32;
+
+#endif
+
+#define opus_int int /* used for counters etc; at least 16 bits */
+#define opus_int64 long long
+#define opus_int8 signed char
+
+#define opus_uint unsigned int /* used for counters etc; at least 16 bits */
+#define opus_uint64 unsigned long long
+#define opus_uint8 unsigned char
+
+#endif /* OPUS_TYPES_H */
diff --git a/src/pitch.c b/src/pitch.c
new file mode 100644
index 0000000..bd101a6
--- /dev/null
+++ b/src/pitch.c
@@ -0,0 +1,526 @@
+/* Copyright (c) 2007-2008 CSIRO
+ Copyright (c) 2007-2009 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/**
+ @file pitch.c
+ @brief Pitch analysis
+ */
+
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include "pitch.h"
+#include "common.h"
+//#include "modes.h"
+//#include "stack_alloc.h"
+//#include "mathops.h"
+#include "celt_lpc.h"
+#include "math.h"
+
+static void find_best_pitch(opus_val32 *xcorr, opus_val16 *y, int len,
+ int max_pitch, int *best_pitch
+#ifdef FIXED_POINT
+ , int yshift, opus_val32 maxcorr
+#endif
+ )
+{
+ int i, j;
+ opus_val32 Syy=1;
+ opus_val16 best_num[2];
+ opus_val32 best_den[2];
+#ifdef FIXED_POINT
+ int xshift;
+
+ xshift = celt_ilog2(maxcorr)-14;
+#endif
+
+ best_num[0] = -1;
+ best_num[1] = -1;
+ best_den[0] = 0;
+ best_den[1] = 0;
+ best_pitch[0] = 0;
+ best_pitch[1] = 1;
+ for (j=0;j<len;j++)
+ Syy = ADD32(Syy, SHR32(MULT16_16(y[j],y[j]), yshift));
+ for (i=0;i<max_pitch;i++)
+ {
+ if (xcorr[i]>0)
+ {
+ opus_val16 num;
+ opus_val32 xcorr16;
+ xcorr16 = EXTRACT16(VSHR32(xcorr[i], xshift));
+#ifndef FIXED_POINT
+ /* Considering the range of xcorr16, this should avoid both underflows
+ and overflows (inf) when squaring xcorr16 */
+ xcorr16 *= 1e-12f;
+#endif
+ num = MULT16_16_Q15(xcorr16,xcorr16);
+ if (MULT16_32_Q15(num,best_den[1]) > MULT16_32_Q15(best_num[1],Syy))
+ {
+ if (MULT16_32_Q15(num,best_den[0]) > MULT16_32_Q15(best_num[0],Syy))
+ {
+ best_num[1] = best_num[0];
+ best_den[1] = best_den[0];
+ best_pitch[1] = best_pitch[0];
+ best_num[0] = num;
+ best_den[0] = Syy;
+ best_pitch[0] = i;
+ } else {
+ best_num[1] = num;
+ best_den[1] = Syy;
+ best_pitch[1] = i;
+ }
+ }
+ }
+ Syy += SHR32(MULT16_16(y[i+len],y[i+len]),yshift) - SHR32(MULT16_16(y[i],y[i]),yshift);
+ Syy = MAX32(1, Syy);
+ }
+}
+
+static void celt_fir5(const opus_val16 *x,
+ const opus_val16 *num,
+ opus_val16 *y,
+ int N,
+ opus_val16 *mem)
+{
+ int i;
+ opus_val16 num0, num1, num2, num3, num4;
+ opus_val32 mem0, mem1, mem2, mem3, mem4;
+ num0=num[0];
+ num1=num[1];
+ num2=num[2];
+ num3=num[3];
+ num4=num[4];
+ mem0=mem[0];
+ mem1=mem[1];
+ mem2=mem[2];
+ mem3=mem[3];
+ mem4=mem[4];
+ for (i=0;i<N;i++)
+ {
+ opus_val32 sum = SHL32(EXTEND32(x[i]), SIG_SHIFT);
+ sum = MAC16_16(sum,num0,mem0);
+ sum = MAC16_16(sum,num1,mem1);
+ sum = MAC16_16(sum,num2,mem2);
+ sum = MAC16_16(sum,num3,mem3);
+ sum = MAC16_16(sum,num4,mem4);
+ mem4 = mem3;
+ mem3 = mem2;
+ mem2 = mem1;
+ mem1 = mem0;
+ mem0 = x[i];
+ y[i] = ROUND16(sum, SIG_SHIFT);
+ }
+ mem[0]=mem0;
+ mem[1]=mem1;
+ mem[2]=mem2;
+ mem[3]=mem3;
+ mem[4]=mem4;
+}
+
+
+void pitch_downsample(celt_sig *x[], opus_val16 *x_lp,
+ int len, int C)
+{
+ int i;
+ opus_val32 ac[5];
+ opus_val16 tmp=Q15ONE;
+ opus_val16 lpc[4], mem[5]={0,0,0,0,0};
+ opus_val16 lpc2[5];
+ opus_val16 c1 = QCONST16(.8f,15);
+#ifdef FIXED_POINT
+ int shift;
+ opus_val32 maxabs = celt_maxabs32(x[0], len);
+ if (C==2)
+ {
+ opus_val32 maxabs_1 = celt_maxabs32(x[1], len);
+ maxabs = MAX32(maxabs, maxabs_1);
+ }
+ if (maxabs<1)
+ maxabs=1;
+ shift = celt_ilog2(maxabs)-10;
+ if (shift<0)
+ shift=0;
+ if (C==2)
+ shift++;
+#endif
+ for (i=1;i<len>>1;i++)
+ x_lp[i] = SHR32(HALF32(HALF32(x[0][(2*i-1)]+x[0][(2*i+1)])+x[0][2*i]), shift);
+ x_lp[0] = SHR32(HALF32(HALF32(x[0][1])+x[0][0]), shift);
+ if (C==2)
+ {
+ for (i=1;i<len>>1;i++)
+ x_lp[i] += SHR32(HALF32(HALF32(x[1][(2*i-1)]+x[1][(2*i+1)])+x[1][2*i]), shift);
+ x_lp[0] += SHR32(HALF32(HALF32(x[1][1])+x[1][0]), shift);
+ }
+
+ _celt_autocorr(x_lp, ac, NULL, 0,
+ 4, len>>1);
+
+ /* Noise floor -40 dB */
+#ifdef FIXED_POINT
+ ac[0] += SHR32(ac[0],13);
+#else
+ ac[0] *= 1.0001f;
+#endif
+ /* Lag windowing */
+ for (i=1;i<=4;i++)
+ {
+ /*ac[i] *= exp(-.5*(2*M_PI*.002*i)*(2*M_PI*.002*i));*/
+#ifdef FIXED_POINT
+ ac[i] -= MULT16_32_Q15(2*i*i, ac[i]);
+#else
+ ac[i] -= ac[i]*(.008f*i)*(.008f*i);
+#endif
+ }
+
+ _celt_lpc(lpc, ac, 4);
+ for (i=0;i<4;i++)
+ {
+ tmp = MULT16_16_Q15(QCONST16(.9f,15), tmp);
+ lpc[i] = MULT16_16_Q15(lpc[i], tmp);
+ }
+ /* Add a zero */
+ lpc2[0] = lpc[0] + QCONST16(.8f,SIG_SHIFT);
+ lpc2[1] = lpc[1] + MULT16_16_Q15(c1,lpc[0]);
+ lpc2[2] = lpc[2] + MULT16_16_Q15(c1,lpc[1]);
+ lpc2[3] = lpc[3] + MULT16_16_Q15(c1,lpc[2]);
+ lpc2[4] = MULT16_16_Q15(c1,lpc[3]);
+ celt_fir5(x_lp, lpc2, x_lp, len>>1, mem);
+}
+
+void celt_pitch_xcorr(const opus_val16 *_x, const opus_val16 *_y,
+ opus_val32 *xcorr, int len, int max_pitch)
+{
+
+#if 0 /* This is a simple version of the pitch correlation that should work
+ well on DSPs like Blackfin and TI C5x/C6x */
+ int i, j;
+#ifdef FIXED_POINT
+ opus_val32 maxcorr=1;
+#endif
+ for (i=0;i<max_pitch;i++)
+ {
+ opus_val32 sum = 0;
+ for (j=0;j<len;j++)
+ sum = MAC16_16(sum, _x[j], _y[i+j]);
+ xcorr[i] = sum;
+#ifdef FIXED_POINT
+ maxcorr = MAX32(maxcorr, sum);
+#endif
+ }
+#ifdef FIXED_POINT
+ return maxcorr;
+#endif
+
+#else /* Unrolled version of the pitch correlation -- runs faster on x86 and ARM */
+ int i;
+ /*The EDSP version requires that max_pitch is at least 1, and that _x is
+ 32-bit aligned.
+ Since it's hard to put asserts in assembly, put them here.*/
+#ifdef FIXED_POINT
+ opus_val32 maxcorr=1;
+#endif
+ celt_assert(max_pitch>0);
+ celt_assert((((unsigned char *)_x-(unsigned char *)NULL)&3)==0);
+ for (i=0;i<max_pitch-3;i+=4)
+ {
+ opus_val32 sum[4]={0,0,0,0};
+ xcorr_kernel(_x, _y+i, sum, len);
+ xcorr[i]=sum[0];
+ xcorr[i+1]=sum[1];
+ xcorr[i+2]=sum[2];
+ xcorr[i+3]=sum[3];
+#ifdef FIXED_POINT
+ sum[0] = MAX32(sum[0], sum[1]);
+ sum[2] = MAX32(sum[2], sum[3]);
+ sum[0] = MAX32(sum[0], sum[2]);
+ maxcorr = MAX32(maxcorr, sum[0]);
+#endif
+ }
+ /* In case max_pitch isn't a multiple of 4, do non-unrolled version. */
+ for (;i<max_pitch;i++)
+ {
+ opus_val32 sum;
+ sum = celt_inner_prod(_x, _y+i, len);
+ xcorr[i] = sum;
+#ifdef FIXED_POINT
+ maxcorr = MAX32(maxcorr, sum);
+#endif
+ }
+#ifdef FIXED_POINT
+ return maxcorr;
+#endif
+#endif
+}
+
+void pitch_search(const opus_val16 *x_lp, opus_val16 *y,
+ int len, int max_pitch, int *pitch)
+{
+ int i, j;
+ int lag;
+ int best_pitch[2]={0,0};
+#ifdef FIXED_POINT
+ opus_val32 maxcorr;
+ opus_val32 xmax, ymax;
+ int shift=0;
+#endif
+ int offset;
+
+ celt_assert(len>0);
+ celt_assert(max_pitch>0);
+ lag = len+max_pitch;
+
+ opus_val16 x_lp4[len>>2];
+ opus_val16 y_lp4[lag>>2];
+ opus_val32 xcorr[max_pitch>>1];
+
+ /* Downsample by 2 again */
+ for (j=0;j<len>>2;j++)
+ x_lp4[j] = x_lp[2*j];
+ for (j=0;j<lag>>2;j++)
+ y_lp4[j] = y[2*j];
+
+#ifdef FIXED_POINT
+ xmax = celt_maxabs16(x_lp4, len>>2);
+ ymax = celt_maxabs16(y_lp4, lag>>2);
+ shift = celt_ilog2(MAX32(1, MAX32(xmax, ymax)))-11;
+ if (shift>0)
+ {
+ for (j=0;j<len>>2;j++)
+ x_lp4[j] = SHR16(x_lp4[j], shift);
+ for (j=0;j<lag>>2;j++)
+ y_lp4[j] = SHR16(y_lp4[j], shift);
+ /* Use double the shift for a MAC */
+ shift *= 2;
+ } else {
+ shift = 0;
+ }
+#endif
+
+ /* Coarse search with 4x decimation */
+
+#ifdef FIXED_POINT
+ maxcorr =
+#endif
+ celt_pitch_xcorr(x_lp4, y_lp4, xcorr, len>>2, max_pitch>>2);
+
+ find_best_pitch(xcorr, y_lp4, len>>2, max_pitch>>2, best_pitch
+#ifdef FIXED_POINT
+ , 0, maxcorr
+#endif
+ );
+
+ /* Finer search with 2x decimation */
+#ifdef FIXED_POINT
+ maxcorr=1;
+#endif
+ for (i=0;i<max_pitch>>1;i++)
+ {
+ opus_val32 sum;
+ xcorr[i] = 0;
+ if (abs(i-2*best_pitch[0])>2 && abs(i-2*best_pitch[1])>2)
+ continue;
+#ifdef FIXED_POINT
+ sum = 0;
+ for (j=0;j<len>>1;j++)
+ sum += SHR32(MULT16_16(x_lp[j],y[i+j]), shift);
+#else
+ sum = celt_inner_prod(x_lp, y+i, len>>1);
+#endif
+ xcorr[i] = MAX32(-1, sum);
+#ifdef FIXED_POINT
+ maxcorr = MAX32(maxcorr, sum);
+#endif
+ }
+ find_best_pitch(xcorr, y, len>>1, max_pitch>>1, best_pitch
+#ifdef FIXED_POINT
+ , shift+1, maxcorr
+#endif
+ );
+
+ /* Refine by pseudo-interpolation */
+ if (best_pitch[0]>0 && best_pitch[0]<(max_pitch>>1)-1)
+ {
+ opus_val32 a, b, c;
+ a = xcorr[best_pitch[0]-1];
+ b = xcorr[best_pitch[0]];
+ c = xcorr[best_pitch[0]+1];
+ if ((c-a) > MULT16_32_Q15(QCONST16(.7f,15),b-a))
+ offset = 1;
+ else if ((a-c) > MULT16_32_Q15(QCONST16(.7f,15),b-c))
+ offset = -1;
+ else
+ offset = 0;
+ } else {
+ offset = 0;
+ }
+ *pitch = 2*best_pitch[0]-offset;
+}
+
+#ifdef FIXED_POINT
+static opus_val16 compute_pitch_gain(opus_val32 xy, opus_val32 xx, opus_val32 yy)
+{
+ opus_val32 x2y2;
+ int sx, sy, shift;
+ opus_val32 g;
+ opus_val16 den;
+ if (xy == 0 || xx == 0 || yy == 0)
+ return 0;
+ sx = celt_ilog2(xx)-14;
+ sy = celt_ilog2(yy)-14;
+ shift = sx + sy;
+ x2y2 = SHR32(MULT16_16(VSHR32(xx, sx), VSHR32(yy, sy)), 14);
+ if (shift & 1) {
+ if (x2y2 < 32768)
+ {
+ x2y2 <<= 1;
+ shift--;
+ } else {
+ x2y2 >>= 1;
+ shift++;
+ }
+ }
+ den = celt_rsqrt_norm(x2y2);
+ g = MULT16_32_Q15(den, xy);
+ g = VSHR32(g, (shift>>1)-1);
+ return EXTRACT16(MIN32(g, Q15ONE));
+}
+#else
+static opus_val16 compute_pitch_gain(opus_val32 xy, opus_val32 xx, opus_val32 yy)
+{
+ return xy/sqrt(1+xx*yy);
+}
+#endif
+
+static const int second_check[16] = {0, 0, 3, 2, 3, 2, 5, 2, 3, 2, 3, 2, 5, 2, 3, 2};
+opus_val16 remove_doubling(opus_val16 *x, int maxperiod, int minperiod,
+ int N, int *T0_, int prev_period, opus_val16 prev_gain)
+{
+ int k, i, T, T0;
+ opus_val16 g, g0;
+ opus_val16 pg;
+ opus_val32 xy,xx,yy,xy2;
+ opus_val32 xcorr[3];
+ opus_val32 best_xy, best_yy;
+ int offset;
+ int minperiod0;
+
+ minperiod0 = minperiod;
+ maxperiod /= 2;
+ minperiod /= 2;
+ *T0_ /= 2;
+ prev_period /= 2;
+ N /= 2;
+ x += maxperiod;
+ if (*T0_>=maxperiod)
+ *T0_=maxperiod-1;
+
+ T = T0 = *T0_;
+ opus_val32 yy_lookup[maxperiod+1];
+ dual_inner_prod(x, x, x-T0, N, &xx, &xy);
+ yy_lookup[0] = xx;
+ yy=xx;
+ for (i=1;i<=maxperiod;i++)
+ {
+ yy = yy+MULT16_16(x[-i],x[-i])-MULT16_16(x[N-i],x[N-i]);
+ yy_lookup[i] = MAX32(0, yy);
+ }
+ yy = yy_lookup[T0];
+ best_xy = xy;
+ best_yy = yy;
+ g = g0 = compute_pitch_gain(xy, xx, yy);
+ /* Look for any pitch at T/k */
+ for (k=2;k<=15;k++)
+ {
+ int T1, T1b;
+ opus_val16 g1;
+ opus_val16 cont=0;
+ opus_val16 thresh;
+ T1 = (2*T0+k)/(2*k);
+ if (T1 < minperiod)
+ break;
+ /* Look for another strong correlation at T1b */
+ if (k==2)
+ {
+ if (T1+T0>maxperiod)
+ T1b = T0;
+ else
+ T1b = T0+T1;
+ } else
+ {
+ T1b = (2*second_check[k]*T0+k)/(2*k);
+ }
+ dual_inner_prod(x, &x[-T1], &x[-T1b], N, &xy, &xy2);
+ xy = HALF32(xy + xy2);
+ yy = HALF32(yy_lookup[T1] + yy_lookup[T1b]);
+ g1 = compute_pitch_gain(xy, xx, yy);
+ if (abs(T1-prev_period)<=1)
+ cont = prev_gain;
+ else if (abs(T1-prev_period)<=2 && 5*k*k < T0)
+ cont = HALF16(prev_gain);
+ else
+ cont = 0;
+ thresh = MAX16(QCONST16(.3f,15), MULT16_16_Q15(QCONST16(.7f,15),g0)-cont);
+ /* Bias against very high pitch (very short period) to avoid false-positives
+ due to short-term correlation */
+ if (T1<3*minperiod)
+ thresh = MAX16(QCONST16(.4f,15), MULT16_16_Q15(QCONST16(.85f,15),g0)-cont);
+ else if (T1<2*minperiod)
+ thresh = MAX16(QCONST16(.5f,15), MULT16_16_Q15(QCONST16(.9f,15),g0)-cont);
+ if (g1 > thresh)
+ {
+ best_xy = xy;
+ best_yy = yy;
+ T = T1;
+ g = g1;
+ }
+ }
+ best_xy = MAX32(0, best_xy);
+ if (best_yy <= best_xy)
+ pg = Q15ONE;
+ else
+ pg = best_xy/(best_yy+1);
+
+ for (k=0;k<3;k++)
+ xcorr[k] = celt_inner_prod(x, x-(T+k-1), N);
+ if ((xcorr[2]-xcorr[0]) > MULT16_32_Q15(QCONST16(.7f,15),xcorr[1]-xcorr[0]))
+ offset = 1;
+ else if ((xcorr[0]-xcorr[2]) > MULT16_32_Q15(QCONST16(.7f,15),xcorr[1]-xcorr[2]))
+ offset = -1;
+ else
+ offset = 0;
+ if (pg > g)
+ pg = g;
+ *T0_ = 2*T+offset;
+
+ if (*T0_<minperiod0)
+ *T0_=minperiod0;
+ return pg;
+}
diff --git a/src/pitch.h b/src/pitch.h
new file mode 100644
index 0000000..9bd31b4
--- /dev/null
+++ b/src/pitch.h
@@ -0,0 +1,149 @@
+/* Copyright (c) 2007-2008 CSIRO
+ Copyright (c) 2007-2009 Xiph.Org Foundation
+ Written by Jean-Marc Valin */
+/**
+ @file pitch.h
+ @brief Pitch analysis
+ */
+
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER
+ OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifndef PITCH_H
+#define PITCH_H
+
+//#include "modes.h"
+//#include "cpu_support.h"
+#include "arch.h"
+
+void pitch_downsample(celt_sig *x[], opus_val16 *x_lp,
+ int len, int C);
+
+void pitch_search(const opus_val16 *x_lp, opus_val16 *y,
+ int len, int max_pitch, int *pitch);
+
+opus_val16 remove_doubling(opus_val16 *x, int maxperiod, int minperiod,
+ int N, int *T0, int prev_period, opus_val16 prev_gain);
+
+
+/* OPT: This is the kernel you really want to optimize. It gets used a lot
+ by the prefilter and by the PLC. */
+static OPUS_INLINE void xcorr_kernel(const opus_val16 * x, const opus_val16 * y, opus_val32 sum[4], int len)
+{
+ int j;
+ opus_val16 y_0, y_1, y_2, y_3;
+ celt_assert(len>=3);
+ y_3=0; /* gcc doesn't realize that y_3 can't be used uninitialized */
+ y_0=*y++;
+ y_1=*y++;
+ y_2=*y++;
+ for (j=0;j<len-3;j+=4)
+ {
+ opus_val16 tmp;
+ tmp = *x++;
+ y_3=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_0);
+ sum[1] = MAC16_16(sum[1],tmp,y_1);
+ sum[2] = MAC16_16(sum[2],tmp,y_2);
+ sum[3] = MAC16_16(sum[3],tmp,y_3);
+ tmp=*x++;
+ y_0=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_1);
+ sum[1] = MAC16_16(sum[1],tmp,y_2);
+ sum[2] = MAC16_16(sum[2],tmp,y_3);
+ sum[3] = MAC16_16(sum[3],tmp,y_0);
+ tmp=*x++;
+ y_1=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_2);
+ sum[1] = MAC16_16(sum[1],tmp,y_3);
+ sum[2] = MAC16_16(sum[2],tmp,y_0);
+ sum[3] = MAC16_16(sum[3],tmp,y_1);
+ tmp=*x++;
+ y_2=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_3);
+ sum[1] = MAC16_16(sum[1],tmp,y_0);
+ sum[2] = MAC16_16(sum[2],tmp,y_1);
+ sum[3] = MAC16_16(sum[3],tmp,y_2);
+ }
+ if (j++<len)
+ {
+ opus_val16 tmp = *x++;
+ y_3=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_0);
+ sum[1] = MAC16_16(sum[1],tmp,y_1);
+ sum[2] = MAC16_16(sum[2],tmp,y_2);
+ sum[3] = MAC16_16(sum[3],tmp,y_3);
+ }
+ if (j++<len)
+ {
+ opus_val16 tmp=*x++;
+ y_0=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_1);
+ sum[1] = MAC16_16(sum[1],tmp,y_2);
+ sum[2] = MAC16_16(sum[2],tmp,y_3);
+ sum[3] = MAC16_16(sum[3],tmp,y_0);
+ }
+ if (j<len)
+ {
+ opus_val16 tmp=*x++;
+ y_1=*y++;
+ sum[0] = MAC16_16(sum[0],tmp,y_2);
+ sum[1] = MAC16_16(sum[1],tmp,y_3);
+ sum[2] = MAC16_16(sum[2],tmp,y_0);
+ sum[3] = MAC16_16(sum[3],tmp,y_1);
+ }
+}
+
+static OPUS_INLINE void dual_inner_prod(const opus_val16 *x, const opus_val16 *y01, const opus_val16 *y02,
+ int N, opus_val32 *xy1, opus_val32 *xy2)
+{
+ int i;
+ opus_val32 xy01=0;
+ opus_val32 xy02=0;
+ for (i=0;i<N;i++)
+ {
+ xy01 = MAC16_16(xy01, x[i], y01[i]);
+ xy02 = MAC16_16(xy02, x[i], y02[i]);
+ }
+ *xy1 = xy01;
+ *xy2 = xy02;
+}
+
+/*We make sure a C version is always available for cases where the overhead of
+ vectorization and passing around an arch flag aren't worth it.*/
+static OPUS_INLINE opus_val32 celt_inner_prod(const opus_val16 *x,
+ const opus_val16 *y, int N)
+{
+ int i;
+ opus_val32 xy=0;
+ for (i=0;i<N;i++)
+ xy = MAC16_16(xy, x[i], y[i]);
+ return xy;
+}
+
+void celt_pitch_xcorr(const opus_val16 *_x, const opus_val16 *_y,
+ opus_val32 *xcorr, int len, int max_pitch);
+
+#endif
diff --git a/src/rnn.c b/src/rnn.c
new file mode 100644
index 0000000..c54958e
--- /dev/null
+++ b/src/rnn.c
@@ -0,0 +1,178 @@
+/* Copyright (c) 2008-2011 Octasic Inc.
+ 2012-2017 Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include <math.h>
+#include "opus_types.h"
+#include "common.h"
+#include "arch.h"
+#include "tansig_table.h"
+#include "rnn.h"
+#include "rnn_data.h"
+#include <stdio.h>
+
+static OPUS_INLINE float tansig_approx(float x)
+{
+ int i;
+ float y, dy;
+ float sign=1;
+ /* Tests are reversed to catch NaNs */
+ if (!(x<8))
+ return 1;
+ if (!(x>-8))
+ return -1;
+#ifndef FIXED_POINT
+ /* Another check in case of -ffast-math */
+ if (celt_isnan(x))
+ return 0;
+#endif
+ if (x<0)
+ {
+ x=-x;
+ sign=-1;
+ }
+ i = (int)floor(.5f+25*x);
+ x -= .04f*i;
+ y = tansig_table[i];
+ dy = 1-y*y;
+ y = y + x*dy*(1 - y*x);
+ return sign*y;
+}
+
+static OPUS_INLINE float sigmoid_approx(float x)
+{
+ return .5 + .5*tansig_approx(.5*x);
+}
+
+static OPUS_INLINE float relu(float x)
+{
+ return x < 0 ? 0 : x;
+}
+
+void compute_dense(const DenseLayer *layer, float *output, const float *input)
+{
+ int i, j;
+ int N, M;
+ int stride;
+ M = layer->nb_inputs;
+ N = layer->nb_neurons;
+ stride = N;
+ for (i=0;i<N;i++)
+ {
+ /* Compute update gate. */
+ float sum = layer->bias[i];
+ for (j=0;j<M;j++)
+ sum += layer->input_weights[j*stride + i]*input[j];
+ output[i] = WEIGHTS_SCALE*sum;
+ }
+ if (layer->activation == ACTIVATION_SIGMOID) {
+ for (i=0;i<N;i++)
+ output[i] = sigmoid_approx(output[i]);
+ } else if (layer->activation == ACTIVATION_TANH) {
+ for (i=0;i<N;i++)
+ output[i] = tansig_approx(output[i]);
+ } else if (layer->activation == ACTIVATION_RELU) {
+ for (i=0;i<N;i++)
+ output[i] = relu(output[i]);
+ } else {
+ *(int*)0=0;
+ }
+}
+
+void compute_gru(const GRULayer *gru, float *state, const float *input)
+{
+ int i, j;
+ int N, M;
+ int stride;
+ float z[MAX_NEURONS];
+ float r[MAX_NEURONS];
+ float h[MAX_NEURONS];
+ M = gru->nb_inputs;
+ N = gru->nb_neurons;
+ stride = 3*N;
+ for (i=0;i<N;i++)
+ {
+ /* Compute update gate. */
+ float sum = gru->bias[i];
+ for (j=0;j<M;j++)
+ sum += gru->input_weights[j*stride + i]*input[j];
+ for (j=0;j<N;j++)
+ sum += gru->recurrent_weights[j*stride + i]*state[j];
+ z[i] = sigmoid_approx(WEIGHTS_SCALE*sum);
+ }
+ for (i=0;i<N;i++)
+ {
+ /* Compute reset gate. */
+ float sum = gru->bias[N + i];
+ for (j=0;j<M;j++)
+ sum += gru->input_weights[N + j*stride + i]*input[j];
+ for (j=0;j<N;j++)
+ sum += gru->recurrent_weights[N + j*stride + i]*state[j];
+ r[i] = sigmoid_approx(WEIGHTS_SCALE*sum);
+ }
+ for (i=0;i<N;i++)
+ {
+ /* Compute output. */
+ float sum = gru->bias[2*N + i];
+ for (j=0;j<M;j++)
+ sum += gru->input_weights[2*N + j*stride + i]*input[j];
+ for (j=0;j<N;j++)
+ sum += gru->recurrent_weights[2*N + j*stride + i]*state[j]*r[j];
+ if (gru->activation == ACTIVATION_SIGMOID) sum = sigmoid_approx(WEIGHTS_SCALE*sum);
+ else if (gru->activation == ACTIVATION_TANH) sum = tansig_approx(WEIGHTS_SCALE*sum);
+ else if (gru->activation == ACTIVATION_RELU) sum = relu(WEIGHTS_SCALE*sum);
+ else *(int*)0=0;
+ h[i] = z[i]*state[i] + (1-z[i])*sum;
+ }
+ for (i=0;i<N;i++)
+ state[i] = h[i];
+}
+
+#define INPUT_SIZE 42
+
+void compute_rnn(RNNState *rnn, float *gains, float *vad, const float *input) {
+ int i;
+ float dense_out[MAX_NEURONS];
+ float noise_input[MAX_NEURONS*3];
+ float denoise_input[MAX_NEURONS*3];
+ compute_dense(rnn->model->input_dense, dense_out, input);
+ compute_gru(rnn->model->vad_gru, rnn->vad_gru_state, dense_out);
+ compute_dense(rnn->model->vad_output, vad, rnn->vad_gru_state);
+ for (i=0;i<rnn->model->input_dense_size;i++) noise_input[i] = dense_out[i];
+ for (i=0;i<rnn->model->vad_gru_size;i++) noise_input[i+rnn->model->input_dense_size] = rnn->vad_gru_state[i];
+ for (i=0;i<INPUT_SIZE;i++) noise_input[i+rnn->model->input_dense_size+rnn->model->vad_gru_size] = input[i];
+ compute_gru(rnn->model->noise_gru, rnn->noise_gru_state, noise_input);
+
+ for (i=0;i<rnn->model->vad_gru_size;i++) denoise_input[i] = rnn->vad_gru_state[i];
+ for (i=0;i<rnn->model->noise_gru_size;i++) denoise_input[i+rnn->model->vad_gru_size] = rnn->noise_gru_state[i];
+ for (i=0;i<INPUT_SIZE;i++) denoise_input[i+rnn->model->vad_gru_size+rnn->model->noise_gru_size] = input[i];
+ compute_gru(rnn->model->denoise_gru, rnn->denoise_gru_state, denoise_input);
+ compute_dense(rnn->model->denoise_output, gains, rnn->denoise_gru_state);
+}
diff --git a/src/rnn.h b/src/rnn.h
new file mode 100644
index 0000000..10329f5
--- /dev/null
+++ b/src/rnn.h
@@ -0,0 +1,69 @@
+/* Copyright (c) 2017 Jean-Marc Valin */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifndef RNN_H_
+#define RNN_H_
+
+#include "rnnoise.h"
+
+#include "opus_types.h"
+
+#define WEIGHTS_SCALE (1.f/256)
+
+#define MAX_NEURONS 128
+
+#define ACTIVATION_TANH 0
+#define ACTIVATION_SIGMOID 1
+#define ACTIVATION_RELU 2
+
+typedef signed char rnn_weight;
+
+typedef struct {
+ const rnn_weight *bias;
+ const rnn_weight *input_weights;
+ int nb_inputs;
+ int nb_neurons;
+ int activation;
+} DenseLayer;
+
+typedef struct {
+ const rnn_weight *bias;
+ const rnn_weight *input_weights;
+ const rnn_weight *recurrent_weights;
+ int nb_inputs;
+ int nb_neurons;
+ int activation;
+} GRULayer;
+
+typedef struct RNNState RNNState;
+
+void compute_dense(const DenseLayer *layer, float *output, const float *input);
+
+void compute_gru(const GRULayer *gru, float *state, const float *input);
+
+void compute_rnn(RNNState *rnn, float *gains, float *vad, const float *input);
+
+#endif /* _MLP_H_ */
diff --git a/src/rnn_data.c b/src/rnn_data.c
new file mode 100644
index 0000000..22c5316
--- /dev/null
+++ b/src/rnn_data.c
@@ -0,0 +1,11051 @@
+/*This file is automatically generated from a Keras model*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include "rnn.h"
+#include "rnn_data.h"
+
+static const rnn_weight input_dense_weights[1008] = {
+ -10, 0, -3, 1, -8, -6, 3, -13,
+ 1, 0, -3, -7, -5, -3, 6, -1,
+ -6, 0, -6, -4, -1, -2, 1, 1,
+ -7, 2, 21, 10, -5, -20, 24, 23,
+ 37, 8, -2, 33, -6, 22, 13, -2,
+ 50, 8, 13, 1, -15, 30, -10, 30,
+ 0, 3, 5, 27, 1, 4, -3, 41,
+ 56, 35, -2, 49, -13, 11, 13, -2,
+ -47, 5, -16, -60, -15, 77, -17, 26,
+ -3, 14, -21, 19, -5, -19, -13, 0,
+ 10, 14, 9, 31, -13, -41, -10, 4,
+ 22, 18, -48, -6, -10, 62, -3, -18,
+ -14, 12, 26, -28, 3, 14, 25, -13,
+ -19, 6, 5, 36, -3, -65, -12, 0,
+ 31, -7, -9, 101, -4, 26, 16, 17,
+ -12, -12, 14, -36, -3, 5, -15, 21,
+ 2, 30, -3, 38, -4, 1, -6, 7,
+ -7, 14, 38, -22, -30, -3, -7, 3,
+ -39, -70, -126, 25, 34, 94, -67, -22,
+ -33, 83, -47, -118, 4, 70, 33, 25,
+ 62, -128, -76, -118, -113, 49, -12, -100,
+ -18, -114, -33, 43, 32, 61, 40, -9,
+ -106, 2, 36, -100, -40, -5, 20, -75,
+ 61, -51, -9, 126, -27, -52, 5, -24,
+ -21, -126, -114, -12, 15, 106, -2, 73,
+ -125, 50, 13, -120, 35, 35, 4, -61,
+ 29, -124, 6, -53, -69, -125, 64, -89,
+ 36, -107, -103, -7, 27, 121, 69, 77,
+ -35, 35, 95, -125, -49, 97, -45, -43,
+ -23, 23, -28, -65, -118, 2, 8, -126,
+ 27, -97, 92, 5, 55, 82, 17, -57,
+ -115, 37, 8, -106, -46, 41, -2, 21,
+ -44, 8, -73, -58, -39, 34, 89, -95,
+ 95, -117, 120, -58, 31, 123, 1, -32,
+ -109, -110, 60, -120, -43, -74, 5, 91,
+ 26, 21, 114, 82, -83, -126, 123, 22,
+ -16, -67, 25, -83, 46, 48, -34, -121,
+ -124, -63, -35, -9, 31, 82, 123, 6,
+ -3, 117, 93, -2, -13, -36, 124, -112,
+ -6, -102, -5, -33, -15, 44, -69, -127,
+ -23, -40, -34, -85, 68, 83, -1, 40,
+ 8, 84, 118, -58, -55, -102, 123, -55,
+ -14, -123, 44, -63, -14, 21, 35, 16,
+ 24, -126, -13, -114, 35, 20, -36, 61,
+ -9, 97, 34, 19, -32, -109, 76, -104,
+ 99, -119, 45, -125, -51, -28, -8, -69,
+ -8, 125, -45, -93, 113, 103, -41, -82,
+ 52, 7, 126, 0, -40, 104, 55, -58,
+ 17, -124, -93, -58, 8, -45, 1, 56,
+ -123, 108, -47, -23, 115, 127, 17, -68,
+ -13, 116, -82, -44, 45, 67, -120, -101,
+ -15, -125, 120, -113, 17, -48, -73, 126,
+ -64, -86, -118, -19, 112, -1, -66, -27,
+ -62, 121, -86, -58, 50, 89, -38, -75,
+ 95, -111, 12, -113, 2, -68, 2, -94,
+ -121, 91, -5, 0, 79, 43, -7, -18,
+ 79, 35, -38, 47, 1, -45, 83, -50,
+ 102, 32, 55, -96, 15, -122, -69, 45,
+ -27, 91, -62, -30, 46, -95, 22, -72,
+ -97, -1, 14, -122, 28, 127, 61, -126,
+ 121, 9, 68, -120, 49, -60, 90, 3,
+ 43, 68, 54, 34, -10, 28, 21, -24,
+ -54, 22, -113, -12, 82, -2, -17, -9,
+ 127, 8, 116, -92, 0, -70, -33, 123,
+ 66, 116, -74, -4, 74, -72, -22, -47,
+ 1, -83, -60, -124, 1, 122, -57, -43,
+ 49, 40, -126, -128, -8, -29, 28, -24,
+ -123, -121, -70, -93, -37, -126, 11, -125,
+ -37, 11, -31, -51, -124, 116, -128, 8,
+ -25, 109, 75, -12, 7, 8, 10, 117,
+ 124, -128, -128, 29, -26, 101, 21, -128,
+ 87, 8, -39, 23, -128, 127, -127, 74,
+ -55, 74, 112, 127, 4, 55, 44, -92,
+ 123, 34, -93, 47, -21, -92, 17, 49,
+ -121, 92, 7, -126, -125, 124, -74, 3,
+ -59, 18, -91, 3, -9, 9, 56, 116,
+ 7, -29, 33, 87, -21, -128, -13, 57,
+ 74, 9, -29, -61, -97, -21, -95, -12,
+ -114, 16, 82, 125, -7, 10, -24, 9,
+ 77, -128, -102, -25, 3, -126, 10, 13,
+ -18, 51, 26, 127, -79, 35, 51, 12,
+ -50, -24, 1, -7, 22, 81, 65, 120,
+ -30, -38, 85, 122, -4, -106, -11, 27,
+ 53, 41, 8, -104, -66, -38, -124, 10,
+ 12, 76, 117, -109, 9, 11, 2, -18,
+ 3, 113, -16, -79, -39, -123, -20, -128,
+ 2, 13, -33, -58, 10, 84, -104, 13,
+ 64, 109, 1, 54, -12, 28, 24, 63,
+ -126, 118, -82, 46, -12, -15, 14, -43,
+ 60, 22, -32, -19, -46, 91, -107, 24,
+ -94, 26, -47, 125, 6, 58, -15, -75,
+ -26, -38, -35, 103, -16, -17, -13, 63,
+ -2, 45, -45, -73, -23, 70, -87, 51,
+ -17, 53, 76, 14, -18, -31, -14, 103,
+ 8, 21, -28, -33, -20, -47, 6, 39,
+ 40, -30, 7, -76, 55, 31, -20, -21,
+ -59, 1, 25, -11, 17, 5, -13, -39,
+ 0, -76, 50, -33, -29, -50, -16, -11,
+ -12, -1, -46, 40, -10, 65, -19, 21,
+ -41, -32, -83, -19, -4, 49, -60, 118,
+ -24, -46, 9, 102, -20, 8, -19, 25,
+ 31, -3, -37, 0, 25, 7, 29, 2,
+ -39, 127, -64, -20, 64, 115, -30, 36,
+ 100, 35, 122, 127, 127, -127, 127, -127,
+ 19, 127, -89, -79, -32, 39, -127, 125,
+ -80, 126, -127, 26, 8, 98, -8, -57,
+ -90, -50, 126, 61, 127, -126, 40, -106,
+ -68, 104, -125, -119, 11, 10, -127, 66,
+ -56, -12, -126, -104, 27, 75, 38, -124,
+ -126, -125, 84, -123, -45, -114, -128, 127,
+ 103, -101, -124, 127, -11, -23, -123, 92,
+ -123, 24, 126, 41, -2, -39, -27, -94,
+ 40, -112, -48, 127, 58, 14, 38, -75,
+ -64, 73, 117, 100, -119, -11, 6, 32,
+ -126, -14, 35, 121, -10, 54, -60, 89,
+ -3, 69, -25, -20, 43, -86, -34, 24,
+ 27, 7, -81, -99, -23, -16, -26, 13,
+ 35, -97, 80, -29, -13, -121, -12, -65,
+ -94, 70, -89, -126, -95, 88, 33, 96,
+ 29, -90, 69, 114, -78, 65, 90, -47,
+ -47, 89, 1, -12, 3, 8, 30, 5,
+ 2, -30, -1, 6, -7, 10, -4, 46,
+ -27, -40, 22, -6, -17, 45, 24, -9,
+ 23, -14, -63, -26, -12, -57, 27, 25,
+ 55, -76, -47, 21, 34, 33, 26, 17,
+ 14, 6, 9, 26, 25, -25, -25, -18
+};
+
+static const rnn_weight input_dense_bias[24] = {
+ 38, -6, 127, 127, 127, -43, -127, 78,
+ 127, 5, 127, 123, 127, 127, -128, -76,
+ -126, 28, 127, 125, -30, 127, -89, -20
+};
+
+static const DenseLayer input_dense = {
+ input_dense_bias,
+ input_dense_weights,
+ 42, 24, ACTIVATION_TANH
+};
+
+static const rnn_weight vad_gru_weights[1728] = {
+ -124, 23, -123, -33, -95, -4, 8, -84,
+ 4, 101, -119, 116, -4, 123, 103, -51,
+ 29, -124, -114, -49, 31, 9, 75, -128,
+ 0, -49, 37, -50, 46, -21, -63, -104,
+ 54, 82, 33, 21, 70, 127, -9, -79,
+ -39, -23, -127, 107, 122, -96, -46, -18,
+ -39, 13, -28, -48, 14, 56, -52, 49,
+ -1, -121, 25, -18, -36, -52, -57, -30,
+ 54, -124, -26, -47, 10, 39, 12, 2,
+ 9, -127, -128, 102, 21, 11, -64, -71,
+ 89, -113, -111, 54, 31, 94, 121, -40,
+ 30, 40, -109, 73, -9, 108, -92, 2,
+ -127, 116, 127, 127, -122, 95, 127, -37,
+ -127, 28, 89, 10, 24, -104, -62, -67,
+ -14, 38, 14, -71, 22, -41, 20, -50,
+ 39, 63, 86, 127, -18, 79, 4, -51,
+ 2, 33, 117, -113, -78, 56, -91, 37,
+ 34, -45, -44, -22, 21, -16, 56, 30,
+ -84, -79, 38, -74, 127, 9, -25, 2,
+ 82, 61, 25, -26, 26, 11, 117, -65,
+ 12, -58, 42, -62, -93, 11, 11, 124,
+ -123, 80, -125, 11, -90, 42, 94, 4,
+ -109, -1, 85, -52, 45, -26, -27, 77,
+ -5, 30, 90, 0, 95, -7, 53, 29,
+ -82, 22, -9, 74, 2, -12, -73, 114,
+ 97, -64, 122, -77, 43, 91, 86, 126,
+ 106, 72, 90, -43, 46, 96, -51, 21,
+ 22, 68, 22, 41, 79, 75, -46, -105,
+ 23, -116, 127, -123, 102, 57, 85, 10,
+ -29, 34, 125, 126, 124, 81, -15, 54,
+ 96, -128, 39, -124, 103, 74, 126, 127,
+ -50, -71, -122, -64, 93, -75, 71, 105,
+ 122, 123, 126, 122, -127, 33, -63, -74,
+ 124, -71, 33, 41, -56, 19, 6, 65,
+ 41, 90, -116, -3, -46, 75, -13, 98,
+ -74, -42, 74, -95, -96, 81, 24, 32,
+ -19, -123, 74, 55, 109, 115, 0, 32,
+ 33, 12, -20, 9, 127, 127, -61, 79,
+ -48, -54, -49, 101, -9, 27, -106, 74,
+ 119, 77, 87, -126, -24, 127, 124, 31,
+ 34, 127, 40, 3, -90, 127, 23, 57,
+ -53, 127, -69, -88, -33, 127, 19, -46,
+ -9, -125, 13, -126, -113, 127, -41, 46,
+ 106, -62, 3, -10, 111, 49, -34, -24,
+ -20, -112, 11, 101, -50, -34, 50, 65,
+ -64, -106, 70, -48, 60, 9, -122, -45,
+ 15, -112, -26, -4, 1, 39, 23, 58,
+ -45, -80, 127, 82, 58, 30, -94, -119,
+ 51, -89, 95, -107, 30, 127, 125, 58,
+ -52, -42, -38, -20, -122, 115, 39, -26,
+ 5, 73, 13, -39, 43, -23, -20, -125,
+ 23, 35, 53, -61, -66, 72, -20, 33,
+ 8, 35, 4, 7, 18, 19, 16, -45,
+ -50, -71, 31, -29, -41, -27, 10, 14,
+ 27, 9, -23, 98, 6, -94, 92, 127,
+ -114, 59, -26, -100, -62, -127, -17, -85,
+ -60, 126, -42, -6, 33, -120, -26, -126,
+ -127, -35, -114, -31, 25, -126, -100, -126,
+ -64, -46, -31, 30, 25, -74, -111, -97,
+ -81, -104, -114, -19, -9, -116, -69, 22,
+ 30, 59, 8, -51, 16, -97, 18, -4,
+ -89, 80, -50, 3, 36, -67, 56, 69,
+ -26, 107, -10, 58, -28, -4, -57, -72,
+ -111, 0, -75, -119, 14, -75, -49, -66,
+ -49, 8, -121, 22, -54, 121, 30, 54,
+ -26, -126, -123, 56, 5, 48, 21, -127,
+ -11, 23, 25, -82, 6, -25, 119, 78,
+ 4, -104, 27, 61, -48, 37, -13, -52,
+ 50, -50, 44, -1, -22, -43, -59, -78,
+ -67, -32, -26, 9, -3, 40, 16, 19,
+ 3, -9, 20, -6, -37, 28, 39, 17,
+ -19, -10, 1, 6, -59, 74, 47, 3,
+ -119, 0, -128, -107, -25, -22, -69, -23,
+ -111, -42, -93, -120, 90, -85, -54, -118,
+ 76, -79, 124, 101, -77, -75, -17, -71,
+ -114, 68, 55, 79, -1, -123, -20, 127,
+ -65, -123, -128, -87, 123, 9, -115, -14,
+ 7, -4, 127, -79, -115, 125, -28, 89,
+ -83, 49, 89, 119, -69, -5, 12, -49,
+ 60, 57, -24, -99, -110, 76, -83, 125,
+ 73, 81, 11, 8, -45, 1, 83, 13,
+ -70, -2, 97, 112, -97, 53, -9, -94,
+ 124, 44, -49, -24, 52, 76, -110, -70,
+ -114, -12, 72, -4, -114, 43, -43, 81,
+ 102, -84, -27, 62, -40, 52, 58, 124,
+ -35, -51, -123, -43, 56, -75, -34, -35,
+ -106, 93, -43, 14, -16, 46, 62, -97,
+ 21, 30, -53, 21, -11, -33, -20, -95,
+ 4, -126, 12, 45, 20, 108, 85, 11,
+ 20, -40, 99, 4, -25, -18, -23, -12,
+ -126, -55, -20, -44, -51, 91, -127, 127,
+ -44, 7, 127, 78, 38, 125, -6, -94,
+ -103, 73, 126, -126, 18, 59, -46, 106,
+ 76, 116, -31, 75, -4, 92, 102, 32,
+ -31, 73, 42, -21, -28, 57, 127, -8,
+ -107, 115, 124, -94, -4, -128, 29, -57,
+ 70, -82, 50, -13, -44, 38, 67, -93,
+ 6, -39, -46, 56, 68, 27, 61, 26,
+ 18, -72, 127, 22, 18, -31, 127, 61,
+ -65, -38, 1, -67, -1, 8, -73, 46,
+ -116, -94, 58, -49, 71, -40, -63, -82,
+ -20, -60, 93, 76, 69, -106, 34, -31,
+ 4, -25, 107, -18, 45, 4, -61, 126,
+ 54, -126, -125, 41, 19, 44, 32, -98,
+ 125, -24, 125, -96, -125, 15, 87, -4,
+ -90, 18, -40, 28, -69, 67, 22, 41,
+ 39, 7, -48, -44, 12, 69, -13, 2,
+ 44, -38, 111, -7, -126, -22, -9, 74,
+ -128, -36, -7, -123, -15, -79, -91, -37,
+ -127, -122, 104, 30, 7, 98, -37, 111,
+ -116, -47, 127, -45, 118, -111, -123, -120,
+ -77, -64, -125, 124, 77, 111, 77, 18,
+ -113, 117, -9, 67, -77, 126, 49, -20,
+ -124, 39, 41, -124, -34, 114, -87, -126,
+ 98, -20, 59, -17, -24, 125, 107, 54,
+ 35, 33, -44, 12, -29, 125, -71, -28,
+ -63, -114, 28, -17, 121, -36, 127, 89,
+ -122, -49, -18, -48, 17, 24, 19, -64,
+ -128, 13, 86, 45, 13, -49, 55, 84,
+ 48, 80, -39, 99, -127, 70, -33, 30,
+ 50, 126, -65, -117, -13, -20, -24, 127,
+ 115, -72, -104, 63, 126, -42, 57, 17,
+ 46, 21, 119, 110, -100, -60, -112, 62,
+ -33, 28, 26, -22, -60, -33, -54, 78,
+ 25, 32, -114, 86, 44, 26, 43, 76,
+ 121, 19, 97, -2, -3, -73, -68, 6,
+ -116, 6, -43, -97, 46, -128, -120, -31,
+ -119, -29, 16, 16, -126, -128, -126, -46,
+ -9, -3, 92, -31, -76, -126, -3, -107,
+ -12, -23, -69, 5, 51, 27, -42, 23,
+ -70, -128, -29, 22, 29, -126, -55, 50,
+ -71, -3, 127, 44, -27, -70, -63, -66,
+ -70, 104, 86, 115, 29, -92, 41, -90,
+ 44, -11, -28, 20, -11, -63, -16, 43,
+ 31, 17, -73, -31, -1, -17, -11, -39,
+ 56, 18, 124, 72, -14, 28, 69, -121,
+ -125, 34, 127, 63, 86, -80, -126, -125,
+ -124, -47, 124, 77, 124, -19, 23, -7,
+ -50, 96, -128, -93, 102, -53, -36, -87,
+ 119, -125, 92, -126, 118, 102, 72, -2,
+ 125, 10, 97, 124, -125, 125, 71, -20,
+ -47, -116, -121, -4, -9, -32, 79, -124,
+ -36, 33, -128, -74, 125, 23, 127, -29,
+ -115, -32, 124, -89, 32, -107, 43, -17,
+ 24, 24, 18, 29, -13, -15, -36, 62,
+ -91, 4, -41, 95, 28, -23, 6, 46,
+ 84, 66, 77, 68, -70, -1, -23, -6,
+ 65, 70, -21, 9, 77, -12, 2, -118,
+ 4, 9, -108, 84, 52, 2, 52, 13,
+ -10, 58, -110, 18, 66, -95, -23, 70,
+ 31, -3, 56, 56, -3, -7, 1, -27,
+ -48, -61, 41, -4, 10, -62, 32, -7,
+ -24, 9, -48, -60, -4, 79, -20, -38,
+ -76, 68, -49, -97, 0, -15, 5, -100,
+ -49, -95, -99, -115, -9, -40, 10, 104,
+ 13, 56, 127, -27, -109, -94, -118, -102,
+ -44, -85, 52, 127, -4, 14, 62, 121,
+ -122, -26, -79, -42, -34, 1, 25, -38,
+ -79, -58, -31, -31, -90, -30, -123, 32,
+ -56, 125, 66, 124, -1, 3, 91, -103,
+ -7, 23, 78, -18, 9, 69, -69, 76,
+ -38, -33, -2, -98, 18, 106, 84, 55,
+ 87, -47, 35, -124, 64, 41, -14, 46,
+ 25, -2, 120, -21, 82, 19, -79, -37,
+ -3, -8, -16, 21, 19, -5, -28, -112,
+ 39, -6, -30, 53, -69, 53, 46, 127,
+ 123, 78, 20, 28, -7, 73, 72, 17,
+ -40, 41, 111, 57, 32, -95, 29, 28,
+ -39, -65, 54, -20, -63, 29, -67, 3,
+ 44, -57, -47, 11, 61, -22, -44, 61,
+ 48, -100, 20, 125, 96, -24, -16, 3,
+ -69, -126, 74, -125, 9, 45, -67, -123,
+ -59, -72, 118, 69, 45, 50, -57, 67,
+ 13, -66, -106, 47, 62, 22, -1, -22,
+ -25, -40, -125, 3, 125, 32, 102, -56,
+ -25, -75, -30, 122, 60, -13, 36, -73,
+ 7, -84, 124, 40, -118, 17, -87, -118,
+ -8, 3, -27, 111, -40, 40, -51, 127,
+ 125, -45, -30, -54, 46, 80, -1, -30,
+ 101, -17, 18, 26, 54, 7, -12, 1,
+ -127, 123, -122, -27, -75, 64, 10, 25,
+ -15, -44, 127, -127, 5, -84, -81, -7,
+ 19, -26, 126, 15, 116, -126, 14, -76,
+ 44, 62, -110, -124, 125, -29, -87, -3,
+ -69, 82, 90, 57, -123, 123, 100, -19,
+ -51, -32, 69, 37, -57, -128, -124, -72,
+ -13, 51, -7, -45, -73, 5, 99, -26,
+ -117, -96, -109, 4, -31, -12, 0, 31,
+ -42, -27, 12, -81, 118, 39, 83, 14,
+ 41, -126, 107, -82, 94, -116, -122, -47,
+ -109, -84, -128, -35, -56, 66, 8, -65,
+ 19, 42, -46, -72, -109, 41, 43, -127,
+ -113, 58, 127, 42, -75, -1, 65, 117,
+ -55, -113, -123, 124, 43, -96, -115, -19,
+ 68, 15, 94, 3, 75, 0, 34, 9,
+ 42, 110, -48, 92, -76, 99, -17, 27,
+ 32, 13, 125, 50, -17, 56, 4, 53,
+ 34, -8, 99, 80, -126, -21, -65, -11,
+ -46, 44, -81, -3, -121, 123, 66, -81,
+ -84, 119, 127, 84, 105, 45, -66, -42,
+ -23, 32, -25, 12, 111, 127, 88, 125,
+ 30, 24, -127, -9, -54, 127, -116, -119,
+ 88, 70, 94, -120, 35, -93, 15, 22,
+ -21, 25, -110, -123, -45, 8, -109, 125,
+ -122, -86, -126, 8, -14, -120, -45, -45,
+ 69, -125, -122, 6, 81, 86, 125, 95,
+ 54, 77, 54, -123, 126, -85, -117, 56,
+ 11, 0, -61, -91, -12, -2, -113, -3,
+ -15, -122, -63, -91, 10, 84, -111, 125,
+ 93, 21, 62, -78, -116, 13, -57, 28,
+ -124, 126, 110, 12, 15, 95, 15, -19,
+ -125, -97, 52, -7, 101, 9, 20, -125,
+ -26, -56, 72, 77, 12, -126, 22, -29,
+ 47, 62, 95, 112, 69, 32, 97, -83,
+ -8, -5, 67, -63, -123, 79, 59, 0,
+ -6, -17, 4, -111, -52, 27, 65, 0
+};
+
+static const rnn_weight vad_gru_recurrent_weights[1728] = {
+ 65, 83, 35, 56, 24, -34, -28, -2,
+ 125, 19, 42, -9, 124, -53, 24, -87,
+ 11, 35, -81, -35, -125, -31, 123, -21,
+ 33, -91, 113, -93, 45, -6, 53, 38,
+ -92, 8, -27, 87, 4, 43, 43, 10,
+ -128, -128, -46, 127, -38, -45, 25, -87,
+ 19, 5, 52, -96, -23, -29, 121, -126,
+ -24, -20, -2, 69, -50, 6, 71, -81,
+ -125, 90, -94, 1, -38, 36, 89, 17,
+ -60, 71, -48, 18, -15, 44, -18, 59,
+ 11, 114, -51, 32, 110, 1, 4, 109,
+ -24, 127, 27, 60, 88, 24, 45, -59,
+ 75, -36, 8, 57, -32, -25, 13, 126,
+ -89, -61, -76, 127, 18, -62, -68, 23,
+ -113, 5, 126, 43, -88, 26, -78, 18,
+ 75, 21, 9, -74, 20, 41, 126, -118,
+ -15, 9, 116, 126, -127, 34, -6, 126,
+ -128, -53, -54, -55, -121, 70, 127, -12,
+ -68, 82, -25, 104, -126, 126, -21, -26,
+ 124, -75, -127, -120, 13, 61, -64, -108,
+ -63, -65, -44, -35, -61, -39, 109, -74,
+ 113, -3, 108, -30, 125, 120, 39, 125,
+ -128, -95, -99, 111, 9, 25, 114, -75,
+ -92, -54, -12, -32, -38, 10, 31, 10,
+ 63, 51, 40, -99, 74, 4, 50, -128,
+ -36, -35, -11, -28, -126, -7, 66, -58,
+ -126, -22, -83, -61, -127, 49, 126, -8,
+ 7, 62, 36, -11, -32, -44, 63, 116,
+ 41, 65, -127, 126, 63, -30, -96, 74,
+ -92, 127, 38, -18, -128, 68, -5, 101,
+ -4, 85, 58, 79, 0, -58, 8, 119,
+ -70, -1, -79, -68, 114, -28, -90, -6,
+ -112, 2, 127, -8, 10, 55, -59, -126,
+ 127, 125, 80, 72, 35, -54, 95, -124,
+ -124, 79, 23, -46, -61, -127, -100, 99,
+ -77, 8, -87, 5, -2, 49, 85, 7,
+ -71, 82, 53, -41, 22, -22, -93, -103,
+ 6, 52, -56, 14, -8, -111, 85, 16,
+ 54, 32, -118, -24, 61, -53, 96, -70,
+ -5, -17, -67, -84, -7, -82, -107, -96,
+ 21, -83, -58, 50, 12, -126, -1, -28,
+ 34, -126, 115, 17, 91, 1, -127, 72,
+ 11, 126, -81, 6, 96, -8, 77, 15,
+ -6, 63, -27, 20, -123, -109, 85, -79,
+ -17, 126, -92, 2, -61, 20, 14, 17,
+ 121, 123, 30, 57, 120, 127, 57, 42,
+ 117, 98, 67, 39, -20, -70, 100, 7,
+ 125, 122, 40, 16, -79, 125, 83, 41,
+ -106, -57, 24, 55, 27, -66, -111, -44,
+ -7, -43, -66, 121, 42, -128, -45, 35,
+ 15, -127, 34, -35, -34, -40, -18, -6,
+ 63, 111, 31, 116, 127, 19, 24, -71,
+ -39, 34, 11, 19, -40, 27, 12, 106,
+ -10, 56, -82, -106, -2, -50, -52, 114,
+ -126, -34, -43, -68, 10, 76, 57, -118,
+ -128, 37, -104, 76, 125, 3, -76, 127,
+ -29, 84, -94, -15, 55, 125, 79, 127,
+ -57, -125, 104, -68, 126, 126, -77, 51,
+ 45, 33, -109, 115, -11, 1, 95, -121,
+ -5, -9, -126, -114, 39, 68, -126, -107,
+ -51, -42, 24, -8, 51, -27, -43, 66,
+ -45, 62, -98, -109, 69, 67, 0, -125,
+ -128, 49, 31, 126, -122, 2, -55, -67,
+ -126, -70, -128, -125, -77, 25, 16, -8,
+ -102, 11, -75, 82, 38, -5, 5, 19,
+ 34, 47, -127, -93, 21, 24, -97, -18,
+ 31, 39, 34, -20, 22, 123, 7, -77,
+ -81, -46, -9, 1, 23, 39, -127, -43,
+ -8, -50, 10, -21, 59, -9, -4, -13,
+ -27, 44, 127, 52, -47, 70, -43, 52,
+ 101, -49, 27, 45, 49, 33, -125, 55,
+ 114, 20, -1, 76, -24, -96, 105, 24,
+ 126, 75, -21, -105, 13, -42, 40, 126,
+ -30, -39, -95, 125, -63, 11, 6, 125,
+ 125, -14, 5, 42, -61, -4, 49, 88,
+ 6, -107, -28, 19, -29, 47, 126, 6,
+ -46, -89, -18, 91, -20, -6, 118, -21,
+ -22, 39, 115, 11, -42, 54, 73, -55,
+ -77, 62, -27, -59, -99, -12, -127, -40,
+ 56, -3, -124, -91, 71, -111, 6, -19,
+ 82, -24, -35, 102, -42, 7, -126, -126,
+ -125, 18, 98, -52, 127, 105, -52, 40,
+ -83, 126, -122, 109, 5, 127, 48, 6,
+ 5, -125, 100, -16, 29, 85, -89, 8,
+ 4, 41, 62, -127, 62, 122, 85, 122,
+ -107, 8, -125, 93, -127, 127, 102, 19,
+ 19, -66, 41, -42, 114, 127, -48, -117,
+ -29, -6, -73, -102, -3, -19, 0, 88,
+ 42, 87, -117, -20, 2, 122, 28, 63,
+ 71, 66, 120, 93, 124, -43, 49, 103,
+ 31, 90, -91, -22, -126, 26, -24, -21,
+ 51, -126, 87, -103, -69, -10, -66, -23,
+ 20, 97, 36, 25, -127, 30, -20, -63,
+ 30, 51, -116, 23, 40, -39, 36, -83,
+ -77, -25, -50, 110, 14, 13, -109, 125,
+ -65, -55, -87, 124, -126, -32, -72, -108,
+ 127, 127, -125, -124, 61, 121, 102, -128,
+ -127, 16, 100, 127, -124, -68, 72, -93,
+ -128, 43, -93, -19, -125, -97, -113, -33,
+ 83, 127, -44, 127, -75, 127, 16, 44,
+ 50, -122, 23, 118, 46, 19, 26, -128,
+ 10, 4, 99, -14, -82, -13, 30, 125,
+ 57, 65, 60, -71, 35, 98, 28, 7,
+ 1, 43, 89, 70, 75, 121, -59, 82,
+ -126, -53, -16, -116, -65, 52, -52, 0,
+ 80, 35, 45, -61, 46, 8, 107, 27,
+ -26, -118, 90, 57, -10, 7, -15, 0,
+ -39, -4, 12, 29, -1, 116, 84, 79,
+ 119, 125, -59, 28, -6, -25, -43, 2,
+ 90, 79, 67, 103, -82, 2, -6, 125,
+ 19, 73, 0, -105, 112, -17, 104, 107,
+ 124, 106, 19, 56, -44, 55, -112, 6,
+ -39, -83, 126, -93, -98, 57, -120, -23,
+ -38, 2, -31, -48, 106, 127, 127, 69,
+ 16, 110, 71, 104, 62, -12, -22, 42,
+ -37, -94, 34, -1, -32, -12, -124, -47,
+ -13, 60, -75, -66, 58, -127, -2, 64,
+ 76, -106, 73, -49, -31, 127, 126, 31,
+ 16, 127, -110, 107, -16, -53, 20, 69,
+ -14, -125, 59, -44, 15, 120, 125, 125,
+ 43, 6, 19, -58, 127, 127, 43, 16,
+ 82, 97, -127, 127, -93, -41, 88, 0,
+ 77, -15, 116, 16, -124, -31, -3, 95,
+ -40, -126, -54, -126, -83, -8, -59, 6,
+ 67, -29, 4, 124, -10, 112, -28, -8,
+ 85, -21, 45, 84, 6, -8, 11, 72,
+ 32, 84, -62, 77, 2, -36, 75, 31,
+ -50, 116, 126, 119, -88, -55, -14, -37,
+ 126, 40, -108, -6, -6, 57, 64, -28,
+ -76, 30, -117, -93, 31, -92, -44, -64,
+ 94, 58, 65, 114, 41, 47, 71, 42,
+ -26, 99, -126, 57, -5, 74, -19, -113,
+ -1, 67, -21, 126, 1, -3, 33, 60,
+ -82, 37, -48, 89, 114, -38, 127, -114,
+ 35, 58, -5, 21, -46, 121, -123, -43,
+ 127, 115, 123, 122, -101, 126, 127, 81,
+ 52, 89, -127, 102, 42, 117, -9, -2,
+ 125, 127, 110, 96, 120, 66, 70, 124,
+ 55, 84, -38, -58, 119, -127, -16, -79,
+ 123, 18, -127, -50, -38, 120, -85, 1,
+ 7, -56, 108, -77, -2, 21, 37, 1,
+ 13, -105, -69, 28, -87, 33, -104, -51,
+ 126, 41, 3, -121, 28, 71, 58, 86,
+ -8, 127, 94, -55, 125, 40, -19, 127,
+ -33, -87, -23, 7, -111, -68, 9, 84,
+ -119, 55, -82, 78, -37, -20, -9, -23,
+ 53, -13, 15, -46, 116, 126, -127, 56,
+ -126, 125, -7, -1, 45, 26, 125, 121,
+ 29, 47, -86, 30, 10, 76, -125, -7,
+ 23, 92, -12, -39, -18, 92, -97, -8,
+ -85, -41, 49, -50, 123, -37, -126, -30,
+ 14, 79, -49, -65, 9, -36, -38, -96,
+ 85, -24, -13, 37, -25, -5, -64, -127,
+ 55, -60, -18, -61, -63, 127, 56, 67,
+ 15, 124, 72, 120, 127, 40, -10, 114,
+ 24, -23, 46, 78, -53, 125, 86, 124,
+ 86, 0, 38, 93, 21, 127, 123, 75,
+ -72, 13, 48, 33, 83, -51, 15, -32,
+ -49, -33, 120, 64, 7, 9, 65, 60,
+ 21, -21, -61, -53, -113, 84, -97, 101,
+ 37, -114, -27, 41, 73, 126, -10, 59,
+ 61, -15, 70, -13, 82, -4, 69, 56,
+ 94, -91, -50, 92, -74, -48, 53, -7,
+ -107, 127, 28, 30, -26, -21, -61, 77,
+ 82, 64, -91, -125, 122, -104, 127, 123,
+ 122, 123, 76, -126, 127, -6, -80, 7,
+ 40, -66, -65, 54, -2, 23, 96, -64,
+ 74, 2, -53, -12, -123, 39, 60, -20,
+ 16, -17, -97, 23, -4, -53, -122, 32,
+ -16, -54, -95, 43, 71, -1, -67, -33,
+ 41, 18, 72, 28, -83, 31, -100, -91,
+ -27, 10, -128, -106, 2, 76, -13, 42,
+ 34, 112, -19, 44, 40, -9, -11, 65,
+ 92, -43, -125, 2, 47, -32, 25, 122,
+ -29, 12, 101, -8, -126, -23, 43, 7,
+ 125, -20, -124, 82, -2, 13, -73, -106,
+ 115, 31, 116, -23, -44, -71, 84, 3,
+ 47, 91, 127, 127, -15, 95, 7, 93,
+ 5, 113, -50, 54, 11, 13, -127, 17,
+ 72, 43, -23, 5, -70, 20, 15, -27,
+ 99, 69, -109, -122, -94, 16, 127, 0,
+ 116, 104, 45, 108, -34, 87, 72, -14,
+ 118, 46, 42, 109, -26, 95, 93, 127,
+ 60, 127, -93, -54, -122, 34, -105, 56,
+ 55, 103, 125, -71, -50, 95, -72, 127,
+ 107, 21, 73, 126, 61, 127, 127, 24,
+ -62, 90, 73, 90, -46, -78, -124, 72,
+ 123, -42, 50, -107, 17, -32, -62, -89,
+ 124, 1, 80, -2, 117, 119, -65, -127,
+ -95, -121, -52, 103, 66, 75, -3, -62,
+ -127, 127, -74, 124, 79, 49, 40, 105,
+ -67, -71, -70, 43, 127, 119, -4, 66,
+ 43, 23, 91, -126, 15, 63, -119, 112,
+ 103, 15, -99, 31, -127, 69, 116, -46,
+ -67, 2, -126, -29, 30, 30, -69, -98,
+ -47, -87, -70, -127, 23, -73, 30, -7,
+ 94, -52, -65, 98, -45, 97, 53, 23,
+ -9, -22, -52, -47, 6, -1, -85, -15,
+ -61, -14, 68, 110, -10, -121, -25, -35,
+ -15, -94, -123, 27, 75, 48, -66, -56,
+ -44, 93, 109, 67, -36, 24, 70, -126,
+ 8, -127, 126, 52, 11, -32, 120, -13,
+ -26, -28, -125, 127, 106, -50, 124, 36,
+ -126, -12, 0, -23, 76, -71, -126, -12,
+ -17, -82, 12, 124, 57, 33, 4, 77,
+ -46, 71, -34, 72, 125, -128, 124, -24,
+ -128, 75, -120, 69, -45, 55, 33, 127,
+ -33, 4, -105, -41, -59, -91, 123, 44,
+ -127, 127, -67, 52, 25, -125, -65, 100,
+ -25, 123, 6, 11, -123, -92, -33, 126,
+ -17, -4, 29, 33, 127, 96, 3, 87,
+ -48, -18, -70, 123, 58, -127, -3, -52,
+ -1, -36, -41, 127, 51, -52, -27, 46,
+ -83, 57, 9, 126, 127, 94, 79, -37,
+ -127, -40, 67, 52, 82, -66, 122, -13,
+ -73, 127, -8, -80, 46, -48, 4, -54
+};
+
+static const rnn_weight vad_gru_bias[72] = {
+ 124, 125, -57, -126, 53, 123, 127, -75,
+ 68, 102, -2, 116, 124, 127, 124, 125,
+ 126, 123, -16, 48, 125, 126, 78, 85,
+ 11, 126, -30, -30, -64, -3, -105, -29,
+ -17, 69, 63, 2, -32, -10, -62, 113,
+ -52, 112, -109, 112, 7, -40, 73, 53,
+ 62, 6, -2, 0, 0, 100, -16, 26,
+ -24, 56, 26, -10, -33, 41, 70, 109,
+ -29, 127, 34, -66, 49, 53, 27, 62
+};
+
+static const GRULayer vad_gru = {
+ vad_gru_bias,
+ vad_gru_weights,
+ vad_gru_recurrent_weights,
+ 24, 24, ACTIVATION_RELU
+};
+
+static const rnn_weight noise_gru_weights[12960] = {
+ -10, -8, 5, -72, 7, 55, -38, 3,
+ 10, 4, 21, 60, 73, 0, -3, 34,
+ 49, -36, 17, 8, 18, 41, -51, -42,
+ 34, -8, 126, 15, 112, 74, -60, -60,
+ 53, -17, 65, 6, 74, -1, 26, 80,
+ -46, -99, -47, 40, 29, -21, 85, -75,
+ 27, -117, 46, -22, -76, 56, 16, -67,
+ -49, -63, -35, -10, -20, 10, 68, 7,
+ -1, 37, 58, -53, 6, -79, -20, 12,
+ 6, 91, -63, 67, 58, -13, -23, -74,
+ -50, -77, -53, -22, -56, 123, -33, 28,
+ 74, -85, -9, -57, -32, 38, 21, 122,
+ 40, 23, -30, -81, -68, -29, -14, -98,
+ -1, -62, -32, 19, 102, 26, 28, -23,
+ 104, 28, -43, -20, -41, 28, 80, -22,
+ -88, 6, -26, 14, 34, -46, 57, -33,
+ -105, -16, 3, -17, -55, -1, -47, -122,
+ 11, 16, 62, 78, -1, -64, 71, 57,
+ -5, 45, 65, -93, 31, 30, -25, 21,
+ 23, 32, -1, -75, -10, 75, -90, 21,
+ 7, -110, -77, -39, 18, -39, 54, -97,
+ 12, 52, -97, 17, 73, 120, -81, -114,
+ 67, 82, 29, -71, -47, 69, -64, 17,
+ -105, -24, -70, -32, -2, -112, -31, -48,
+ 1, 22, 92, -21, -89, -65, 16, 49,
+ 3, 15, 80, -21, -1, 37, -4, -25,
+ 12, -80, -43, 56, -7, 36, -20, 18,
+ -12, 39, 66, 74, -100, 117, 76, -82,
+ -93, 63, 56, 36, 5, 41, -57, 31,
+ -47, -14, 52, -22, -56, 29, -123, -104,
+ 41, -113, 124, -106, -36, 41, -86, -40,
+ 44, 28, -6, 114, -32, -17, -26, -77,
+ -69, 42, -33, 61, 28, 82, -18, 71,
+ -53, -63, 122, -38, -49, -108, -32, 126,
+ 126, 45, 43, -56, 61, 9, -20, -53,
+ 122, 98, -3, 3, 24, -3, 80, -42,
+ -20, 57, -34, 108, -26, 48, 116, -14,
+ 53, 5, -45, 21, -55, 114, -49, -29,
+ -44, -5, -70, 98, 63, -115, -66, 53,
+ -55, -19, 83, -12, 7, 47, 42, 15,
+ -36, 44, 75, -85, 105, -84, -17, -127,
+ 15, -67, -105, 23, 36, -1, -16, -116,
+ 21, 58, 69, -57, -104, -81, -49, 91,
+ 26, -72, 33, -31, -37, -79, 5, 9,
+ 123, -61, 11, 67, -14, -29, 41, -53,
+ 37, -59, -20, -24, 95, 125, -66, -26,
+ 17, 28, -43, -8, -100, 80, -6, 0,
+ 37, -123, -54, -92, 28, 56, 127, 48,
+ 11, -58, 99, -90, 63, -4, 6, 10,
+ 37, -38, -15, 31, 5, -39, 25, -17,
+ 24, -23, -64, -68, 41, 65, 28, -113,
+ -115, -27, -51, 50, 9, -101, 73, -41,
+ -104, 88, -71, 3, -87, 119, -73, 20,
+ -35, 0, -30, 34, -31, -9, -4, 23,
+ -19, 35, -16, 111, 66, -52, -107, 101,
+ 54, -2, -3, 109, -40, -2, 119, 74,
+ -26, -116, -105, -90, 25, -111, -43, -92,
+ -3, -104, 102, 11, 19, -83, 14, -62,
+ 38, 57, 50, -10, 36, -95, 124, 32,
+ -34, -123, -7, -109, 124, -119, -67, -116,
+ -31, 114, -65, -34, -126, 8, 8, 5,
+ 53, -28, 53, 84, -9, -14, 92, -70,
+ 74, 116, -4, 121, -49, 108, 0, 126,
+ 123, -1, -25, 24, 56, -121, 20, -47,
+ -41, -11, -22, -32, -40, -41, -66, 29,
+ -128, -30, -28, 31, -39, 30, 57, -96,
+ 63, -121, 71, 1, -29, -20, 72, 114,
+ 12, -43, 23, -75, 24, -4, -123, 17,
+ 18, -68, -23, 51, -30, 39, -125, -48,
+ 13, -119, -75, -74, 51, 125, -10, 29,
+ -103, 6, -28, 22, -45, 19, 17, 19,
+ 33, -3, -18, -30, -12, -25, -128, 61,
+ 94, 47, -56, 59, -62, 66, -28, 18,
+ -115, 12, -3, -80, 60, -62, 55, -16,
+ 68, 23, -6, 109, 11, 0, -7, -96,
+ -11, 21, 44, -75, -8, -10, -10, 69,
+ 14, 14, -41, 26, 67, 37, -30, 44,
+ 11, -16, 3, 66, 1, -18, 21, 96,
+ -29, -100, 27, -8, -98, 21, -2, 58,
+ -45, -15, 93, 37, -66, -48, -7, -5,
+ 39, -57, 17, -81, 42, 0, -40, 123,
+ 3, 118, -14, 56, -113, -68, -127, 74,
+ -78, 46, 97, -61, -42, 68, -32, 16,
+ -10, -82, -6, 1, 98, -48, 20, 32,
+ -102, -35, 45, -5, -91, 26, 37, 18,
+ 59, -88, -29, 17, 43, 33, 14, 6,
+ -37, -37, 5, -7, -37, -13, 72, -6,
+ -128, -43, 17, 32, 45, -26, 4, -85,
+ -59, 8, 5, -27, 51, 55, 42, -79,
+ -13, -51, 49, 70, -26, -21, 9, 27,
+ 21, -26, -76, 28, 1, 89, -76, 23,
+ -4, 10, 31, -13, -22, 3, 41, 24,
+ 18, 25, -55, 10, -23, 4, -72, -18,
+ -91, -50, 1, -55, 12, -26, -43, 11,
+ -14, 27, -82, -73, 36, 27, -20, 62,
+ 53, 100, 75, -12, -37, -77, -127, 32,
+ -21, -24, 34, -26, -39, -5, -66, 94,
+ -97, 19, 16, 61, 59, 65, 37, -64,
+ 26, -34, 63, 74, 7, 38, -2, -27,
+ 82, -73, -10, 37, -43, 1, 23, 24,
+ 25, -5, 13, 6, -76, 78, 46, 44,
+ -107, 14, 7, -22, 28, -125, 47, -48,
+ 28, -16, 15, 1, -16, 21, 15, 51,
+ 37, -17, 2, 39, -23, -28, 10, -51,
+ -48, -1, 6, 88, 38, 22, -40, 37,
+ -22, -23, 67, -4, -3, -6, 9, 108,
+ -32, 31, 77, 28, -101, -23, -10, -38,
+ -13, 12, -34, 55, 24, -4, 48, 29,
+ -72, -83, 41, -31, -49, -68, 5, -3,
+ 124, -19, 44, -94, -4, -8, -31, 9,
+ -21, 58, -60, 24, 13, -9, 97, 53,
+ 93, -51, 105, 55, 36, -32, 6, -51,
+ -99, 19, 39, -63, -64, 29, 22, 5,
+ -24, -74, 72, -6, 35, 37, -25, 65,
+ 74, 29, 30, 65, 91, 30, -42, 15,
+ 42, -64, -87, -68, 53, -78, -33, 21,
+ -60, 33, 7, 6, 10, 68, 55, -47,
+ 51, -56, 79, -29, -1, -66, -29, 50,
+ 66, -12, -67, 69, -53, -90, -31, -123,
+ 49, 7, 10, -6, 55, -61, -14, -6,
+ 59, -2, -41, 21, 10, -21, -24, -23,
+ -34, 30, -49, -41, -27, 36, -56, 46,
+ 7, 18, -23, 78, -49, 1, -37, 43,
+ 77, -21, -19, 18, 14, 35, 92, 39,
+ -39, 44, -58, -1, 4, -63, 27, 79,
+ -14, -7, -41, -34, -24, -25, 13, -14,
+ -30, 5, -62, 13, -52, 53, 40, -18,
+ -29, 52, -20, 11, 20, 23, -47, 51,
+ 30, -91, -46, 39, 4, 53, -18, 2,
+ -28, -12, 62, -29, -57, -13, -20, 60,
+ -15, 3, 49, -26, 0, -30, -18, 97,
+ 11, 52, 43, 87, 107, -94, -30, 63,
+ -4, -62, 48, 2, 22, 7, -11, -79,
+ -41, 18, -28, 9, 30, -58, 80, -64,
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+ -24, -5, -38, -76, 37, 59, 4, 79,
+ 23, 70, -113, 36, -42, -41, -68, -59,
+ 9, -100, -105, 117, 127, -127, 45, -128,
+ 9, 26, -115, -80, 99, 72, -74, 17,
+ 8, 8, 60, 31, -128, 126, -122, 107,
+ 7, -28, 28, -109, -32, -44, -81, 16,
+ -128, 13, -126, -39, 18, -69, -84, -22,
+ -113, -31, 48, 49, 0, -65, -109, 82,
+ 57, -95, 12, 13, -43, 19, 36, 95,
+ -113, 40, 95, 116, -11, 61, 55, -61,
+ 127, 67, 127, -46, 126, 31, 116, -30,
+ -67, 113, 90, -23, 54, -55, 13, -45,
+ 127, 63, -22, 120, -13, -22, 58, 91,
+ 52, 45, 13, 83, 40, 87, -25, 125,
+ 91, 74, 50, -124, 86, 66, 5, 127,
+ -19, 116, 6, -12, 4, 42, 92, -40,
+ -100, -21, 123, 27, -45, 4, -97, -22,
+ -113, -4, -27, 18, 49, 78, 107, 6,
+ 126, 127, 8, -47, -124, -110, -8, 17,
+ 67, 51, 5, 13, -11, -76, 15, -124,
+ 37, 58, -71, 25, -112, 45, 35, -128,
+ 44, 127, 34, 39, 15, -17, 49, -3,
+ -24, -27, -49, 12, 127, 111, -78, -63,
+ 30, 29, 29, -25, 73, -66, 94, 17,
+ 6, 75, -82, 118, -96, 55, -47, -53,
+ 16, 21, 115, 15, -10, 64, 7, 42,
+ 73, -33, -38, 6, -88, 94, 31, 51,
+ -99, -27, 0, 123, -124, 81, 51, -54,
+ -112, 115, 42, -124, -60, 99, 23, 101,
+ 62, -52, 20, 6, -43, 4, 9, 0,
+ 44, 51, 8, -59, -11, 110, -6, 100,
+ 29, 127, 0, 92, 127, 13, -38, 65,
+ 23, 76, -1, -127, -69, -14, 59, -33,
+ -57, 11, 0, 83, -38, 52, 110, -36,
+ -35, -112, 99, -16, -113, 125, -50, -114,
+ 63, -62, -6, 39, -9, 110, 0, -100,
+ -29, 123, 121, 7, 82, -51, -32, 51,
+ -34, 84, -76, -82, 90, -105, 111, 24,
+ 17, -16, -41, -116, -123, 1, 48, -127,
+ 55, 66, -16, -84, 74, -37, -91, 27,
+ 83, 47, 49, 92, -80, 32, 72, 65,
+ 29, 16, -7, 8, -106, -3, 15, -69,
+ -48, -27, 45, 8, -51, 58, 35, -10,
+ -15, 0, 15, 4, 50, -64, 6, -16,
+ -35, 59, -2, 14, 1, 7, 4, -74,
+ 7, 124, 38, -46, 70, 0, -73, -35,
+ -5, -4, 0, 54, 7, -4, 10, 93,
+ -8, 42, -93, -38, -46, 1, 29, 50,
+ 78, 75, 63, -73, 14, -26, 6, 58,
+ -81, 7, -3, 86, 69, 5, -6, 14,
+ 48, -41, 124, 0, 43, 65, 24, 54,
+ -79, 32, 46, 17, -13, -57, -35, -10,
+ -19, 40, -78, -47, -4, 30, -86, -61,
+ 0, 15, -15, 13, 127, 5, -22, 61,
+ 68, -33, 8, -16, -34, 10, 33, 5,
+ -48, 14, 49, 126, -27, 20, 96, 26,
+ 8, 24, -4, 57, 54, 45, -11, -126,
+ 126, -13, -51, -32, 4, -65, 74, -77,
+ -35, -3, -7, -69, 10, 13, 0, -49,
+ -123, -56, -9, -61, 6, 18, -1, 12,
+ -67, 23, 5, -30, 7, 37, -34, 12,
+ -40, 3, -25, 32, -60, -66, 97, -27,
+ 32, 20, -95, -3, 8, -76, -15, 61,
+ 8, 19, 9, 18, -20, -13, 105, -13,
+ 47, -11, 19, 10, -47, 1, 125, 77,
+ 90, 34, -76, 49, 64, -28, -67, 2,
+ -32, -24, -1, -25, -120, 1, -68, 55,
+ 81, -85, -11, -12, -29, -110, 2, -44,
+ 41, -12, -16, 7, -1, -118, 76, -76,
+ -17, -43, -8, 101, 86, -123, 70, 45,
+ -13, -39, 114, -72, 101, -5, -8, -5,
+ -54, -49, -92, -26, -117, 19, 14, -116,
+ 37, 8, 15, -15, 30, -22, -16, 23,
+ -83, 5, 57, 14, -19, -9, 51, -1,
+ -20, -26, -3, -8, 3, -14, -51, 11,
+ -56, 30, -5, -108, -10, -115, -89, -38,
+ -70, -4, -15, -30, 35, 48, -119, -63
+};
+
+static const rnn_weight noise_gru_recurrent_weights[6912] = {
+ 20, -47, 122, 31, 41, -36, 18, -22,
+ 0, 87, -28, -26, -68, 8, -54, 104,
+ 112, 19, 31, -118, -31, -31, 9, 17,
+ 11, 5, -53, -24, -17, 24, -35, 16,
+ 53, -26, 6, 24, 48, 11, 17, -34,
+ 17, -15, -51, -32, -44, -11, 10, 63,
+ 25, -92, -52, -30, 26, -57, 44, -18,
+ 20, 49, -40, 74, 96, -43, 99, 90,
+ -15, 40, 11, -119, -125, 42, 58, -127,
+ -27, 9, -64, -64, -87, -31, -53, -39,
+ -1, -11, 53, -6, -124, -6, -81, -67,
+ 46, 23, 11, -124, -48, 100, -62, -6,
+ -17, -124, 10, 81, 39, 35, -125, -52,
+ 4, 41, -43, 12, -48, 13, 27, 41,
+ 25, -20, 4, -71, -59, -30, 43, 46,
+ 22, 34, 50, -78, -117, -26, 67, 22,
+ -27, -86, 48, -51, -52, 32, 48, 1,
+ -11, 63, -38, 62, -13, 17, 32, -6,
+ 11, -15, -65, -45, 69, -9, -33, -13,
+ -114, -30, 55, -29, -33, 3, -59, 44,
+ 72, -52, 22, 65, 14, 5, -20, 19,
+ 12, 81, -2, 100, -6, 125, -41, 124,
+ -2, 24, 107, 21, -38, 66, 46, -20,
+ -11, 8, 51, -59, 8, 50, -78, -26,
+ 98, -21, 120, -30, 34, -49, 72, -22,
+ -74, 69, -86, -11, 23, -126, 10, 12,
+ -35, -36, 20, 21, -24, 39, 44, -110,
+ -54, 33, 1, 10, -83, 36, -37, 7,
+ -57, 0, -73, -23, 15, -10, -14, 12,
+ 52, -80, -21, -40, 0, -47, 24, 8,
+ 58, -41, -48, 14, 27, -83, -11, 62,
+ 5, 101, 35, -75, 89, -101, 44, 50,
+ -77, -115, 1, 50, 25, -113, -64, -6,
+ -14, 30, -80, -91, -48, -126, -51, -93,
+ -103, -1, -49, 73, 25, -39, 51, 70,
+ -39, -53, 41, -60, -70, -72, -6, -19,
+ 63, 75, 120, 79, 1, -57, 8, -3,
+ 18, 5, -56, 31, -13, 73, 83, 77,
+ 4, -122, 122, -127, -17, 63, -119, -30,
+ -74, -109, -106, 44, -12, 106, -15, -31,
+ -19, 17, 87, 15, -79, 81, 32, 35,
+ 60, 127, 0, -53, -60, 30, -93, -31,
+ -19, 36, -19, -21, -46, 44, 16, 88,
+ -98, 61, 65, 25, 119, -70, 127, 52,
+ 12, -1, -6, -72, 15, 99, -117, 22,
+ 3, 99, -63, -54, -56, -1, -32, -2,
+ -120, 53, 66, -8, 112, 43, 2, -57,
+ -27, -92, 39, 100, 5, -20, -66, -7,
+ 33, -81, -127, -80, 27, -112, -76, -53,
+ 122, 12, 33, -88, -25, 47, -112, 10,
+ -38, 117, 29, -125, -65, 30, 60, -124,
+ -61, 14, 108, 7, -30, -50, -38, 44,
+ 16, -35, 39, -2, 125, 83, -1, -24,
+ -27, 106, -76, 58, 122, 24, 15, -86,
+ -101, -82, 121, 6, -4, 33, 0, -40,
+ -80, 22, -24, -124, -39, 120, -53, -1,
+ 63, 12, 48, -54, 83, -109, 40, 7,
+ 26, -51, -74, 38, -12, 0, 33, -66,
+ 50, -118, -25, -109, 18, 59, 124, 50,
+ 10, -42, 12, 68, -85, -59, 46, 34,
+ 5, -1, -2, -41, 53, 3, -8, -62,
+ -8, 33, -95, -24, 52, 30, -16, 98,
+ -13, -54, -54, 39, -30, 9, -78, -13,
+ -21, -39, -20, -21, 36, 24, 1, 63,
+ 28, -72, 63, -15, -127, -19, 16, 56,
+ 4, 22, -71, 9, -13, 18, -42, 5,
+ -10, -14, -71, -37, -47, -48, -68, 64,
+ 56, 23, -90, 15, -67, -38, -1, 10,
+ -34, -119, 55, -61, -25, 24, 29, -47,
+ -53, -28, 32, 23, 51, 45, -17, 111,
+ 12, -16, -63, -25, -50, 31, -18, -45,
+ 2, -15, -79, -11, 78, -102, -46, 31,
+ -47, 69, 8, 63, -123, 107, -74, -78,
+ 45, 55, 20, -64, 30, 95, 44, 6,
+ 13, 28, -37, -70, -21, -84, 16, 6,
+ 5, -53, 8, -9, -11, 24, 41, -39,
+ -84, -40, 24, -126, -41, -3, 13, -84,
+ 59, -62, -43, 11, -15, 14, -46, -125,
+ -72, -38, -48, 22, -38, 84, 39, -29,
+ -97, 31, 8, -46, 22, -68, -60, 8,
+ -47, -123, -18, -102, -43, 34, -79, 30,
+ -74, -94, 64, -57, -1, 98, -9, 97,
+ -119, 45, 19, -24, -26, -99, -55, 24,
+ 46, 7, -6, -126, -80, 15, 1, -20,
+ -72, -68, -23, -79, -74, 65, 8, 26,
+ 118, 13, -82, -38, 20, -9, 104, 41,
+ 42, 126, -15, -54, -65, -97, 59, 50,
+ 12, 76, -47, 92, -126, -39, 2, 46,
+ 27, 101, -87, -7, -26, -25, -2, 22,
+ 12, 57, -99, -16, 54, 126, 80, -17,
+ 54, 21, -21, 83, -54, 62, -11, 35,
+ -37, 80, -2, 20, 6, 39, -20, -74,
+ 33, -53, 56, -21, -48, 37, 37, 0,
+ -40, 13, 44, 107, -47, -21, 19, -23,
+ -116, 104, 72, -43, 59, 37, 53, 70,
+ -59, 26, -14, 41, 13, 17, 32, 123,
+ -73, 62, 101, -47, -60, 15, -44, 7,
+ -114, -40, -39, -79, 84, 18, 114, 70,
+ 103, 55, -24, -8, -80, 71, -50, 55,
+ 54, 46, 25, -59, 15, 19, 122, -104,
+ 121, -5, 45, -22, 118, 88, -2, 123,
+ -13, 21, -33, -70, -54, -86, -29, -85,
+ -40, -38, -20, -71, 8, -97, -23, -48,
+ -4, -9, 25, -122, -52, -119, -5, 3,
+ 39, -28, -113, -65, -44, 5, 13, -14,
+ 83, 9, 50, 27, -24, -13, -14, -37,
+ 106, -31, 58, -26, 37, 1, -78, -128,
+ -12, -39, -127, 20, -53, 54, -61, 71,
+ 16, 41, 54, -92, 57, 88, 48, -51,
+ -7, 18, 24, -12, 83, 29, 63, -20,
+ -88, 11, -17, -79, -84, -51, 53, -2,
+ -21, -64, -28, 98, -14, 7, 127, -122,
+ -22, -25, 6, 4, 121, 124, 111, 38,
+ -33, -17, -106, -2, -10, 12, -35, 67,
+ -2, 8, -15, -17, 48, 66, -5, -10,
+ -33, -2, -37, 73, -110, 124, -27, -14,
+ -7, 46, 6, -14, -37, -32, -32, -33,
+ 39, 33, -21, -111, 1, 21, -126, -99,
+ -81, 31, -32, 58, 32, -104, 23, 61,
+ -48, 20, -5, -51, 57, -126, -10, 110,
+ -6, -32, -35, 65, 42, -95, -74, -72,
+ 6, 45, -81, 34, -61, -128, 46, 22,
+ 5, -30, -59, 116, -95, -31, -14, 16,
+ 18, -39, 52, -36, -35, -1, -107, 59,
+ 34, -24, 35, 28, 52, -65, -49, -66,
+ -1, 59, -87, 45, 42, 124, -47, -59,
+ -68, -85, 52, -18, -119, 19, 25, -126,
+ -118, -26, -9, 82, -111, 20, -72, -86,
+ 6, -36, 18, -45, 100, 3, -86, -17,
+ 125, -121, -50, 25, 37, 123, 20, 52,
+ -118, 53, 19, -31, -86, 123, 63, -110,
+ -12, -28, 64, -39, 75, 96, -95, 58,
+ 45, 43, 97, -71, -25, -38, -8, -33,
+ -85, -56, -44, 41, 82, -77, 71, -35,
+ 29, -36, -16, 21, -84, -7, -37, -82,
+ 60, 21, 26, -39, -23, 87, -2, 46,
+ -27, 45, -38, -25, -67, 45, -48, -3,
+ 11, -82, -15, -34, -35, 87, -94, -17,
+ 47, -33, 41, -17, -36, 30, 41, -18,
+ 81, 33, 25, -80, 65, -6, 65, -35,
+ -18, -105, 33, 57, 5, -12, 25, 120,
+ 6, -69, 90, -41, 45, -59, -82, 80,
+ 41, -11, 6, 38, 105, 51, 58, -73,
+ 20, 19, -4, 40, -28, -124, 116, -33,
+ -15, 23, 124, 68, 28, 6, -25, -29,
+ 18, 80, -35, -4, -25, 10, -118, -20,
+ 9, 94, -111, -76, 43, -19, 15, 97,
+ -19, -21, 63, 92, 72, -67, -23, -66,
+ -49, -14, 6, -47, 17, -101, 21, -29,
+ 89, -72, -86, 112, -92, 38, -71, 114,
+ -53, 47, -102, 6, -59, 64, -16, -116,
+ -22, 6, -43, 19, 9, 9, -37, -68,
+ 86, -6, -84, -40, 10, -14, 80, -10,
+ -49, 76, 31, 47, 123, 90, -49, 35,
+ 9, 64, 71, -29, -40, -107, 60, -33,
+ -23, 25, 63, -116, -16, -118, 82, -125,
+ -7, 26, -70, 77, 37, 124, 29, 80,
+ 69, 88, -5, -56, -77, 68, -77, 61,
+ 20, -72, -27, -120, -58, -70, -10, -126,
+ -49, -66, -44, 127, -28, 83, 63, 65,
+ -90, -29, -121, -1, -30, 85, -41, -91,
+ 40, -43, 68, 85, 85, -75, -43, 122,
+ -24, -103, -82, 20, -113, -22, -36, -72,
+ 29, -39, 28, -24, -16, 11, 27, 28,
+ -1, -61, 15, -126, 1, -31, -43, -26,
+ 24, -27, -42, 28, -80, -34, 15, -44,
+ -42, 31, 23, -40, 30, -2, -54, -6,
+ -48, -114, 36, -71, 13, 57, -127, 94,
+ 1, -28, 116, -62, -3, -29, -23, -75,
+ -110, 49, 42, 127, 19, -121, -92, 56,
+ -58, -28, -41, -19, -5, 38, 106, 120,
+ 40, 2, 86, -58, -49, -20, 102, -56,
+ -86, -7, 1, -85, 10, 34, -11, -63,
+ -1, 85, -106, 31, -48, -64, 12, -14,
+ -111, -82, -28, -11, -26, -52, -43, -33,
+ -20, -57, -91, 27, -64, 54, -55, -32,
+ 27, 97, 11, 13, -8, -120, -35, 35,
+ 6, -117, 25, 104, 7, -1, -8, 0,
+ 31, -29, -10, -20, -33, -23, -1, -6,
+ -107, 60, -62, 70, -28, -96, 48, 17,
+ -103, -64, 30, 42, 18, 66, 0, -69,
+ -16, 77, -21, -4, 35, 45, -70, 70,
+ 36, 27, 97, -27, 57, 23, -23, 91,
+ 118, -12, 24, 21, -54, 1, 40, -17,
+ -109, 39, 33, -22, -44, 46, 20, -15,
+ -42, 29, -10, -64, -16, 35, -95, -83,
+ 40, -34, -63, 54, -12, 2, 104, -5,
+ -103, -79, -94, 126, -7, 18, -17, 116,
+ -15, 76, -48, 19, -5, 76, 58, 53,
+ 1, 20, 22, -13, -63, 11, -15, -117,
+ -39, 43, -21, -5, 18, 16, -7, -72,
+ 34, -103, 86, -76, -114, 26, 39, -4,
+ 3, 45, -37, -55, -34, 56, -113, 14,
+ -56, 21, 83, -115, 52, -41, 71, -51,
+ -125, -95, 11, 93, -48, 5, -41, -128,
+ 11, 22, -20, -103, 1, 17, -69, -28,
+ -32, 25, 119, 52, -92, -92, -19, 57,
+ 77, -51, 59, -57, -8, -90, -17, -44,
+ -94, -43, -90, 5, 18, -27, -72, 42,
+ -18, -29, 32, -30, 19, -7, -27, -102,
+ -82, -20, -7, -127, -26, 60, 1, -37,
+ -124, -92, -47, -8, 8, -55, -25, -88,
+ -18, 98, -5, -35, -44, 15, 121, -38,
+ -13, 9, -88, -126, 68, -126, 62, -49,
+ -44, -56, -71, 3, 65, -27, -46, -103,
+ -78, 29, -65, -23, 100, 75, 47, 8,
+ 57, -43, -47, 69, 112, -85, 51, -56,
+ 36, -101, 13, -36, 73, 26, 31, -8,
+ 53, 52, -38, 29, 81, -26, 116, -18,
+ 35, -49, 2, -6, -4, 52, 94, 59,
+ -120, 68, -59, 6, -3, -54, -22, 18,
+ 1, -126, -127, -34, 19, 105, -26, -16,
+ 113, -43, -31, -7, -60, -4, 72, 39,
+ 17, 38, 118, 31, 5, 19, -70, -14,
+ -93, -8, -107, -56, -59, 56, -127, 41,
+ -63, -30, -71, -27, -4, 13, -15, -66,
+ -50, 33, 38, 34, -47, 2, -50, 71,
+ -49, 18, -39, -18, 46, -3, 50, -18,
+ -32, -67, -25, 58, -14, -7, 23, -3,
+ -24, 7, 8, 118, -20, -55, -24, -30,
+ -16, -9, 73, 63, -74, 42, 112, -35,
+ -27, 38, 59, 13, 72, 2, 109, -11,
+ -75, 30, 28, -20, -74, 16, 103, -83,
+ -6, -115, -44, -11, -33, -120, 66, -58,
+ 22, -12, 15, -32, -26, 1, 30, 35,
+ 76, 62, -121, 9, -32, 12, 75, -77,
+ 80, 25, -18, -78, -123, -61, 23, 36,
+ -127, -65, 15, 29, 100, -23, 2, 15,
+ 21, 52, -120, -14, 12, -38, -39, 100,
+ 13, -3, 22, -125, -115, -44, -65, 85,
+ -44, 35, -27, -44, 9, 77, 2, 4,
+ 5, 35, -31, -126, -112, -91, 32, -24,
+ 6, -73, -41, 41, -23, 42, -127, 41,
+ -51, -8, -55, -52, -32, -6, -52, 55,
+ -16, 26, 110, -63, 70, 127, 38, 80,
+ 17, 87, 44, -51, 34, 127, -16, 117,
+ 126, 22, -24, -123, -6, -76, 12, -4,
+ -3, 47, -31, 28, 30, 12, -24, 84,
+ 110, -105, 64, 44, 84, 27, -13, 54,
+ 104, -20, 60, -60, -10, 45, 120, -55,
+ -6, -91, 35, 10, 2, 38, -30, -125,
+ -100, -23, -126, 47, -16, -17, 20, -73,
+ 6, 31, -28, -121, -53, 79, -100, -4,
+ 69, 0, -20, 125, 35, 16, -44, -20,
+ -5, 44, -113, -11, -6, 57, 33, -3,
+ -21, 50, 101, -9, 42, 72, -10, 21,
+ 95, 39, 8, 72, 42, -43, -24, 30,
+ 33, -27, -17, 79, 52, -127, 3, 39,
+ 1, -66, -43, 85, 11, -56, -20, 14,
+ -7, -30, -8, -10, -34, 48, -109, -12,
+ -99, -58, 123, -82, 35, -102, 7, -83,
+ -104, 29, 99, -91, 13, 15, -64, -111,
+ -17, -24, -98, -97, 86, 0, 12, 123,
+ -113, 61, -13, 3, 31, 4, -92, -115,
+ 126, 7, 6, 74, -68, 46, 19, -85,
+ -94, -20, -20, -117, 59, -51, -59, 20,
+ 18, 3, 6, 21, 1, 94, -78, 112,
+ -12, -46, -30, 67, -16, -83, 6, 42,
+ -118, 49, -82, -21, -4, 15, -12, -67,
+ 20, -71, -69, 57, -10, -51, -46, 99,
+ -5, -9, -40, 59, -61, -11, -59, -69,
+ 2, -55, -32, -48, -4, -6, -33, -110,
+ 94, 43, -19, -18, 31, -126, -5, -19,
+ -80, -20, -20, -28, -56, -70, 45, -46,
+ 43, 77, 6, 77, -90, 26, -37, 35,
+ -39, -48, 28, 9, -56, -42, -31, -46,
+ -31, 13, -65, 77, 34, -41, 9, 17,
+ 20, 24, 51, -44, 11, -21, -44, -78,
+ -96, -23, -22, 6, 18, -126, -110, -33,
+ 8, -32, 17, -123, -43, -7, -53, 17,
+ 46, -53, 26, -15, 70, 19, -51, 67,
+ 25, 117, 56, 7, -6, 74, 57, 101,
+ 122, 41, -32, -44, -21, 54, 32, 22,
+ 119, 120, 72, 68, -24, 29, 48, -6,
+ 2, -14, 5, -35, -77, 4, -72, 53,
+ 46, -31, 57, 25, 9, 69, -21, -7,
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+ 38, -69, -90, -4, -43, -58, 30, 13,
+ -70, 5, -44, -17, -59, -26, -48, -74,
+ 29, -127, -23, -34, -31, 29, 14, -50,
+ -93, -20, -53, -35, -59, -42, 1, -44,
+ 16, -126, 16, -125, 22, -22, -98, -8,
+ 71, -57, -76, 13, 61, 125, 48, 52,
+ -110, -90, 37, -75, -41, 0, -36, 32,
+ 33, -2, 28, -70, 59, 93, -116, 13,
+ 79, -18, 83, -43, -12, 0, 4, -74,
+ -121, 0, -63, 42, 52, -65, 96, 7,
+ 18, 11, -24, 100, 29, 23, 45, 24,
+ 6, -33, 17, -75, -66, 59, -8, 42,
+ -8, 8, -36, -35, 3, 22, -26, -19,
+ -23, 17, -62, 44, -32, 120, -5, 26,
+ -14, 11, -54, -40, 43, -47, -62, 8,
+ 11, 18, -5, -44, 9, 15, 41, -13,
+ -42, -58, 45, 32, 8, -28, 52, 29,
+ 18, -14, 31, -18, 63, -19, -103, 60,
+ 4, 75, -36, -86, -90, 68, 7, 17,
+ -24, -44, -16, 11, -62, -31, 71, -78,
+ 15, -51, 1, -46, 71, 124, -2, 9,
+ -20, -9, 39, 5, 71, -12, 0, 54,
+ 68, 41, 33, -19, 103, 1, -66, 20,
+ 41, -56, -80, 7, -35, -85, 23, -37,
+ 9, 62, 56, 63, -23, 25, 127, 26,
+ 1, -76, 124, -23, 44, -55, 87, -58,
+ -47, -18, -15, -8, -24, -50, 54, -68,
+ -63, -12, 25, -14, -25, -49, -16, 109,
+ -55, 9, -49, -2, -73, -33, -101, 28,
+ -53, -10, 21, -42, 11, -53, -31, -125,
+ 57, 24, 85, -11, -76, -39, -40, 34,
+ -30, -34, -127, -4, 55, 96, -3, -44,
+ -32, -24, 115, -9, -92, -63, 6, 71,
+ -23, -74, -16, -86, 84, -127, -116, -109,
+ 108, 18, 91, -96, -76, 65, -55, -5,
+ 29, -26, 23, 40, 9, -127, 40, -103,
+ 69, -127, -10, -16, 99, -34, 53, -5,
+ -108, -40, -81, -42, 63, 61, 23, 123,
+ -72, 7, 55, 114, 24, 73, -15, 17,
+ 37, -43, 48, -105, 77, -12, 33, 29,
+ -36, -1, 41, -35, -81, 81, -41, -80,
+ -29, -43, 115, 19, 50, 40, 32, 32,
+ -82, 87, 28, -5, -22, -77, 56, -12,
+ 28, 26, 5, 49, 37, 25, -29, -35,
+ -13, -82, -57, -74, 36, 104, 62, -78,
+ -82, 46, -3, -57, -18, -57, -9, 61,
+ 14, -12, -41, -84, 125, 124, 24, -80,
+ -44, -21, 21, 82, -48, 123, -72, -23,
+ -93, 38, 10, -103, 55, -126, 31, 29,
+ -48, 127, 26, -51, -74, -54, 4, 35,
+ -125, -40, -30, 37, 58, 31, 11, 10,
+ 2, -24, -75, -18, 29, 35, 10, 37,
+ -3, -106, -56, -70, -11, 14, -59, -125,
+ 27, -49, -18, 12, -59, -63, -74, -1,
+ -66, -13, -121, -73, -4, 5, -121, -70,
+ 6, -128, -23, -20, -25, -65, 14, -23,
+ 112, 67, 109, 41, -15, 71, 3, -9,
+ -21, 121, -119, 63, 93, 34, 35, 65,
+ 126, -39, -46, -118, 105, -103, -25, -29,
+ 76, 51, -77, 122, 95, 65, 77, 67,
+ 11, -4, -119, -52, -39, 48, 6, -28,
+ 68, -42, 113, 9, 23, -18, -7, -14,
+ 23, -12, -9, 5, 6, -93, 43, -32,
+ 7, 20, -65, 55, 18, -128, 53, -7,
+ -5, 21, -2, 13, 43, -5, 13, -126,
+ 92, -60, 32, -84, -116, 62, 70, 115,
+ -21, -38, -116, 0, 39, -10, -10, -29,
+ -101, -40, -9, -29, 43, -16, -1, -4,
+ 29, -42, -52, 13, 44, -126, -91, 39,
+ 64, -52, -60, -52, 66, 15, -7, -35,
+ -105, -55, 63, -24, -76, 89, -18, 38,
+ -73, 57, 6, 67, -80, 64, -48, -42,
+ 19, -74, -128, 36, 4, 20, -125, 15,
+ 51, 13, -19, -29, -78, -60, 56, -9,
+ 63, -23, -37, -57, -12, 7, 33, -115,
+ -30, 62, -32, 93, -19, 73, 20, 15,
+ -2, -48, -19, -128, -54, 126, -103, -39,
+ -27, -65, -24, 63, 7, -40, 27, -26,
+ 71, -110, 116, 36, 20, 7, 2, 40,
+ 45, -41, -62, -78, 28, -54, -59, -1,
+ -19, -75, 50, 32, 107, 20, -5, -104,
+ 105, -39, -38, 72, 70, -121, -4, 99,
+ -23, 16, -47, 14, 89, 34, -65, -16,
+ -46, 18, 52, -65, -51, 11, -108, -37,
+ -57, -25, 27, 19, -36, -100, 97, -112,
+ -24, -118, -31, -39, 122, -61, -52, 95,
+ 42, -53, -27, -71, -79, 3, -62, -126,
+ -115, -30, 65, -48, -98, -110, 77, 13,
+ 55, 26, -4, 2, -73, -36, 50, 20,
+ -86, -70, 22, -35, 118, -119, 7, 62,
+ -124, -7, -107, -95, -119, -60, -47, -94,
+ 14, 105, -70, 104, 16, 75, 114, -128,
+ -95, -113, 17, 7, -127, 24, 28, -53,
+ -76, -57, -118, -19, -59, -14, -64, -22,
+ -27, 0, -10, -103, 13, -116, -59, -1,
+ 66, -123, -107, -5, -48, 4, -61, -86,
+ -50, 5, 51, -81, -108, -59, 19, 54,
+ -103, -17, -35, -127, -81, 59, -122, 0,
+ 36, -24, 117, -29, 31, -9, 13, 15,
+ 80, 81, 36, 123, 90, 77, 21, -49,
+ 8, -12, -34, 65, -71, 35, -3, 15,
+ -54, -58, -41, -45, 10, 54, 102, 77,
+ 23, 28, -39, -43, -47, -49, -87, -35,
+ 24, -2, 21, 33, -22, 26, 19, 80,
+ -26, -32, -101, 34, 31, -6, -57, 20,
+ 73, 78, -107, 36, -49, 2, 23, -17,
+ 109, 5, 15, -34, 41, -23, 61, -5,
+ -56, -102, 88, -16, 49, -52, -57, 59,
+ 90, -8, -125, 30, 72, 75, -46, -75,
+ -126, 97, -28, 118, -62, -47, 113, -29,
+ -48, -29, 101, 23, -7, -42, 18, 36,
+ 0, 11, -29, 31, -53, -5, -18, -80,
+ 46, -18, 29, 5, 17, 0, -19, 65,
+ -6, -1, 21, 11, -35, -40, 26, -68,
+ -29, -43, -4, -24, 29, 85, -25, -77,
+ -10, -27, 3, -34, 56, 74, -118, 13,
+ 14, 101, -48, 22, -41, 59, 22, 21,
+ -20, -127, -73, -7, 70, -48, 13, -95,
+ 31, -14, -63, 22, -71, -93, -74, -38,
+ -120, -28, -33, -45, -14, -48, -18, 81,
+ 24, -60, -29, 0, -16, -7, 47, -84,
+ -72, 58, 14, -37, 71, 20, 41, -42,
+ -6, -105, -8, -2, -25, -16, 23, -50,
+ 16, 33, 52, 22, 42, -4, -5, 54,
+ 15, -22, -105, -18, -8, -25, -112, 26,
+ -32, -46, -70, 86, -41, 105, 46, -30,
+ -38, 1, -24, -20, -24, 3, -13, -44,
+ 19, -79, 23, -60, 21, -54, -120, -21,
+ -3, 60, 4, -29, -2, 17, -2, -10,
+ -20, 12, -71, -108, 47, 4, 26, 20,
+ -11, -28, 0, -27, 2, -50, 7, 9,
+ -42, -59, -52, 65, 9, 77, -67, -21,
+ 5, 44, -30, -33, -87, 8, 109, 120,
+ -80, -27, -74, 4, 40, 22, -17, 91,
+ 13, -31, 80, 0, 34, 24, -29, -74,
+ -120, 71, -96, 85, 125, 117, 59, -53,
+ -75, -42, -21, -19, 9, 29, 47, -124,
+ 97, -7, 54, 29, 9, 67, 56, 13,
+ -16, 33, -10, -11, 100, 26, -65, -10,
+ 2, 80, -43, -1, -98, -37, -1, 63,
+ 29, 41, -92, -5, 48, 36, -2, 48,
+ 2, -23, 7, -2, 19, -121, 95, -85,
+ -2, -126, 47, 44, 4, -49, 53, 27,
+ -80, 48, -51, 127, 13, 84, -39, 2,
+ 40, 29, 45, 53, 14, -21, 27, -38,
+ -79, -63, -28, -20, 7, -117, 62, 1,
+ 58, -68, -6, 22, -5, 9, -16, -23,
+ 55, -43, 25, -31, -85, 39, -5, 65,
+ 1, 16, 11, 2, -27, 31, 65, 88,
+ -15, 16, -127, 58, 45, -45, -20, 45,
+ -22, -61, 62, -62, -74, -107, -62, 96,
+ 37, 57, 23, -83, 3, 11, -69, 31,
+ -13, -67, 14, -93, 35, 61, -62, -31,
+ -61, 9, 25, -53, 127, 117, -4, 67,
+ 59, -65, -38, -11, 46, -75, -20, -48,
+ -9, 55, 18, -39, 30, -55, 114, -45,
+ 47, 15, -32, -27, -84, 12, -42, 85,
+ 0, 4, -56, -48, -43, -24, 24, 26,
+ -85, -10, -90, 28, -9, 77, -111, -51,
+ -79, -41, 26, 16, 46, -65, -69, -106,
+ 121, 68, 19, 16, -62, -25, -62, 115,
+ 116, 20, -94, 61, 45, 78, 53, 55,
+ 28, -42, 20, 7, -109, -34, 55, -124,
+ -39, 125, 40, 25, -28, 82, -60, -101,
+ -13, 25, -71, -34, 27, 71, 16, -7,
+ -33, -37, -1, 12, -1, 9, -52, -12,
+ 25, 25, -34, -41, -37, 32, -18, -31,
+ -124, -85, -101, 0, -37, -122, 49, -21,
+ 85, -68, 5, 36, -20, -13, -12, 43,
+ -26, -57, 30, -12, -46, -90, -83, -120,
+ -3, -26, -59, 16, 47, -83, 32, -44,
+ -14, 35, -94, 69, -61, 108, -20, -17,
+ 54, 36, -49, 53, -50, 48, -4, 9,
+ 38, -70, 56, -23, 80, -48, 56, 37,
+ -55, 20, 41, -9, -97, -55, 81, 18,
+ -42, -6, -110, 97, -86, -91, 21, 9,
+ -14, -10, -14, 92, -39, 45, -37, 62,
+ -43, 34, 114, -14, 24, -25, 126, -92,
+ -8, 6, 0, -59, 34, 26, 18, -3,
+ -53, 24, -36, -125, -75, -21, -36, -37,
+ 75, -124, -50, -48, -117, -29, 38, -10,
+ 117, -84, 82, -126, -4, -123, 9, 27,
+ -91, -81, -21, -126, 50, -29, 47, 51,
+ 44, 51, -17, 125, -39, -56, 49, 44,
+ 127, -14, 101, -46, -3, -21, -52, -2,
+ 4, -35, 65, 25, 33, -47, 89, -36,
+ 34, 72, 70, 43, -72, -38, 90, 54,
+ 121, 13, 63, -18, 45, -41, 95, 23,
+ -4, 82, 14, 37, -10, 86, 47, 46,
+ -13, 15, -35, -123, -58, -7, 102, -79,
+ 40, 13, -6, -42, 75, -127, -109, 20,
+ 61, 20, -74, -113, -28, 96, -97, -67,
+ -41, -28, 118, 15, -10, 41, 26, 17,
+ -84, 34, 125, 7, 61, -126, -104, -124,
+ 125, -109, -1, 50, -44, 40, 62, -118,
+ 86, -50, -45, -58, 9, -126, -94, 26,
+ -45, -28, -77, 11, -54, -38, 70, -74,
+ -49, 39, -127, -21, -98, 39, 113, -109,
+ -123, -69, 47, -73, -111, -59, 1, 3,
+ -43, 25, 115, 102, 5, -83, -72, 122,
+ 84, -126, -42, -51, -13, 17, 19, -106,
+ -56, 38, -40, -75, -20, 56, -7, 32,
+ 58, 57, 39, -118, -23, -123, -82, 66,
+ -40, -115, -84, 29, 120, 28, 6, 12,
+ -66, 15, 58, -77, -26, -71, 80, 120,
+ 38, -13, 92, -113, 23, 61, -122, -39,
+ -5, -114, -30, -11, 0, 43, 19, -122,
+ 111, 73, 0, -51, 49, -36, -25, 101,
+ -41, -45, -33, -91, -52, 52, 65, 37,
+ -78, 93, 78, -73, 9, -9, 9, -79,
+ -35, 25, 16, -29, -36, 9, -16, -40,
+ 33, 118, 7, 36, -19, 43, -46, -123,
+ -49, 18, -95, 101, 29, -35, -17, -7,
+ 60, 20, -75, -25, -35, -17, -117, -106,
+ -30, -98, -40, 68, 35, -15, 14, -101,
+ -36, -83, 2, 20, 53, 126, 8, 74,
+ 63, -57, -20, -13, 33, -9, -90, -75,
+ -2, -105, 86, 37, -48, 14, -40, -20,
+ 5, -127, -12, -30, -53, -14, 39, 93,
+ -24, 0, -20, 66, 42, 7, -39, 68,
+ 80, 25, 81, 4, 28, -22, -41, 56,
+ 51, -39, 2, 28, 45, -3, 62, 92,
+ 19, 73, 43, 45, 61, -53, 102, -35,
+ -34, 47, -85, -29, -12, 46, -31, -89,
+ 47, -25, 120, -8, 30, 63, -27, 56,
+ -67, -10, 71, 30, -21, 88, 86, -72,
+ 23, 16, -46, 126, 116, 45, -53, 15,
+ 90, 20, 10, -47, -35, 61, 28, -68,
+ 121, 108, -24, -8, -97, -13, -124, -27,
+ -21, -104, -22, -61, -118, -124, -41, -3,
+ -86, -31, -15, 71, -1, -42, -2, 45,
+ 40, -33, -115, -38, -33, -36, -4, 34,
+ 74, 98, -8, 107, -49, 11, 121, -29,
+ -49, -15, -37, 43, -80, -31, 19, 15,
+ 18, -71, 78, -108, -87, 34, -4, -30,
+ -98, 124, -115, -18, -116, 35, 10, -125
+};
+
+static const rnn_weight noise_gru_bias[144] = {
+ 51, 32, 88, 60, -64, 92, 5, -36,
+ -49, 95, 102, -20, -1, 14, 8, 21,
+ -36, -68, 62, 46, 10, -60, -103, -16,
+ -30, -42, -43, 35, -4, 23, 97, 46,
+ -29, -16, 71, 52, -20, -23, 91, 16,
+ 69, -13, -23, 73, -17, 13, 30, 23,
+ 1, -27, 53, -24, -71, 45, 42, -49,
+ 28, -16, -20, 61, 40, -104, 54, -5,
+ 31, 10, -51, -37, -6, -85, 9, 51,
+ 16, 2, -26, 56, -39, -5, -27, -13,
+ -49, 30, 4, -64, -41, 45, -23, 14,
+ -19, -10, -55, -61, -35, 46, -31, -12,
+ -93, -28, 11, -6, -46, -12, 1, 15,
+ -37, -107, -50, 3, 54, -26, -86, 14,
+ 66, -54, -38, -70, -1, 69, 46, -12,
+ -128, -55, 0, 17, 48, -64, -24, 9,
+ -67, -107, -101, -43, -4, 80, -52, -90,
+ -23, -64, 31, 86, -50, 2, -38, 7
+};
+
+static const GRULayer noise_gru = {
+ noise_gru_bias,
+ noise_gru_weights,
+ noise_gru_recurrent_weights,
+ 90, 48, ACTIVATION_RELU
+};
+
+static const rnn_weight denoise_gru_weights[32832] = {
+ -53, 26, -20, 28, -57, -30, -79, 58,
+ -68, 103, 70, 4, 92, 14, -71, -3,
+ 26, 54, -9, -86, -8, 49, -60, 121,
+ -98, -4, 103, -38, -89, 28, 85, 30,
+ 33, -45, 42, 53, -37, -116, 72, -44,
+ 24, 1, 17, -26, -7, 9, 5, -71,
+ -97, -86, -118, -59, -27, -51, 26, 14,
+ -89, -63, 76, -16, -5, 11, 86, 121,
+ 67, 5, -20, -44, -43, -7, 18, 25,
+ -41, 14, 11, 24, -5, -58, 15, 10,
+ 89, 41, -100, 42, 41, 89, -89, 30,
+ -16, -35, -29, -119, -45, -1, -104, 24,
+ 9, 46, 21, 122, -5, -29, -64, 19,
+ 72, -60, 79, -52, -15, -37, 15, 38,
+ -13, -9, 28, 56, -12, 121, 23, -104,
+ -81, -7, -94, 17, 124, 49, 108, -41,
+ 118, -33, -106, 42, -27, 50, 57, -24,
+ 26, -107, 15, -103, -23, -13, -7, 23,
+ -40, -113, 14, -36, -59, 25, 44, 54,
+ 37, 40, -10, 59, 29, -16, -49, 18,
+ 4, -27, 15, 15, 37, 29, 50, -61,
+ 28, -16, -96, 48, -102, -97, 12, -31,
+ 43, 54, 9, -58, -42, 18, 10, 115,
+ -16, -29, -14, -66, -38, 69, -65, 50,
+ 7, 6, 11, 8, -53, -1, 25, 32,
+ 77, -5, -42, 58, -43, -63, -86, -36,
+ 18, 21, -49, 38, 72, 22, -25, 22,
+ -16, -95, 77, 16, 55, -8, 31, -39,
+ -117, 3, -38, -24, 27, 24, 25, -29,
+ 21, -44, -13, -61, 6, 5, 19, -20,
+ -11, 89, 40, -113, -86, 65, -84, -21,
+ 20, 10, 15, 28, -56, -14, -17, 50,
+ 90, -15, 29, -27, -54, -40, -32, -58,
+ -59, 4, -17, 58, 3, -85, -9, 64,
+ -38, -5, 104, -21, -30, -4, 79, -44,
+ -55, 8, 44, 10, -58, 31, 7, 25,
+ -49, -2, -30, -29, -118, 49, 68, 17,
+ -34, 0, 46, -109, 28, -14, -47, 88,
+ 13, -55, 24, 62, 44, -16, -54, -67,
+ 40, 69, 3, -46, 1, -43, 127, -30,
+ -78, 25, 106, 16, -30, 104, -12, 20,
+ -58, 35, -71, -79, 18, 7, -12, -28,
+ -49, 17, 98, -64, 25, 84, 32, 33,
+ -36, 13, -31, 29, -9, -97, -78, 4,
+ 16, 26, 86, 28, -29, 5, 23, -5,
+ -112, 83, -27, 9, -47, 43, 12, -7,
+ -11, 27, 92, -9, -14, -9, 69, 68,
+ 32, -25, 20, -70, 40, -20, -32, 36,
+ -94, 19, 5, 101, 11, -47, 44, 65,
+ -40, -56, -21, -43, 72, 7, 36, 14,
+ 1, -27, -18, -10, 18, 14, 58, -4,
+ 12, 3, -60, -6, 68, -9, -42, 10,
+ 40, -17, -17, 13, -16, 86, -62, -20,
+ -22, 24, 75, 61, -5, -32, -75, 0,
+ -41, -65, -19, -37, 21, -51, -54, -79,
+ 3, 34, 10, 75, 91, -59, 25, 21,
+ -5, 26, -71, 9, 27, 28, 49, -17,
+ -12, -44, -28, -51, -8, -18, -4, -12,
+ -45, -50, 32, 26, 65, -54, 29, 16,
+ -80, 16, 38, -94, -27, 33, 3, 51,
+ 17, 26, -10, -35, 18, 57, -6, 7,
+ -9, -35, 22, 10, -9, 5, -18, 7,
+ -3, 15, -82, -12, -18, 51, 6, 21,
+ -29, 58, 14, -16, 6, 29, -35, 59,
+ 10, 32, 54, -11, 25, -27, -13, 33,
+ -19, 11, -83, 61, 37, 42, 20, 21,
+ 13, 57, 40, -1, 8, 6, -8, 22,
+ 57, -18, -1, -7, 29, -40, -17, 50,
+ 8, -4, -4, 32, 26, 35, -60, -35,
+ -36, -17, -66, -63, 2, -124, 8, 26,
+ 17, 31, -84, -12, 15, 49, 6, 39,
+ 33, 28, 20, -48, 42, 8, -5, -6,
+ 26, -33, 12, 42, 91, 25, 5, -91,
+ -27, 23, 6, -63, -119, -99, -38, -32,
+ -97, -31, 15, -28, -18, -59, -24, -7,
+ -2, -7, -119, -34, -121, -121, 26, 74,
+ -85, -7, -22, -26, -43, 2, -32, 34,
+ 51, -82, -92, 14, 80, 19, -2, -39,
+ -81, -22, 48, -39, -21, -46, -49, -19,
+ -68, -111, 80, -45, -49, -86, 23, -2,
+ -55, -9, 2, 1, -55, -32, -32, 18,
+ -104, 88, 1, 25, -48, -100, 9, -89,
+ 9, -8, 70, 43, -122, 90, 45, -60,
+ -48, -22, -47, -100, 48, 22, 6, 26,
+ -16, 18, -37, 5, -102, -6, 3, -55,
+ -87, -117, -33, -106, -63, -21, 10, 74,
+ 16, -19, -14, -60, 15, -38, 90, -58,
+ -14, -2, -58, -45, 50, 30, -72, -26,
+ 94, -108, -79, -4, 53, 63, -80, 45,
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+ 46, 27, -16, 41, -125, -75, -22, -58,
+ -27, 11, -58, -5, -74, -125, -42, -13,
+ -77, -20, -80, 3, 19, -65, 61, -89,
+ -47, -56, -35, -80, 124, 86, -5, -49,
+ 72, -117, -34, -54, 68, 67, -87, 54,
+ 9, 1, 9, -21, -30, 32, -38, -2,
+ 51, 21, -118, -25, 107, 30, -32, 60,
+ 5, -48, 127, 28, -113, -65, -23, -1,
+ -69, -75, -65, -25, 17, -115, -19, 40,
+ 49, 120, 42, 11, -48, 32, 66, -26,
+ 75, -50, -75, 13, -29, 67, -126, -27,
+ 25, 24, -126, -2, -59, -61, -89, -124,
+ 78, -26, 76, -126, 36, 28, -3, -16,
+ -29, -81, 13, -123, 67, 52, 23, 37,
+ -73, -96, 40, -95, -112, 63, -55, 117,
+ 63, 118, 34, -74, -119, -77, -23, -14,
+ -113, 111, 28, -80, 37, 103, 5, -25,
+ -79, 73, -76, -84, 45, 57, -67, 6,
+ 8, -51, -67, -127, -58, -127, -33, 0,
+ -105, -24, -77, 48, -29, 125, 118, 77,
+ -112, -128, 41, 68, 126, -30, -34, 13,
+ 115, 109, -9, -34, -44, 121, -11, 100,
+ -12, 43, -88, 51, -41, 37, -110, 43,
+ 127, 36, -42, -58, -108, -119, 36, -107,
+ 20, 23, 111, -4, 126, -9, 125, -69,
+ -42, 32, -33, 106, -7, 127, 6, -126,
+ 29, 57, -29, -100, -91, 126, -4, 74,
+ 33, -5, 5, 94, -20, 66, 34, 68,
+ 37, 39, 82, -59, 69, 124, 75, -123,
+ 86, -70, 91, -70, 17, 107, 93, 60,
+ -21, 51, 74, 21, -39, -90, -96, 13,
+ 17, 121, -111, -30, 72, 28, 73, -13,
+ 0, 12, -18, -7, 9, 32, 16, -21,
+ -87, 46, 37, 8, -7, 47, 8, 24,
+ 0, -3, 36, -35, -20, 12, 36, -4,
+ -61, -5, 6, -77, -52, -4, 74, -23,
+ -4, -18, -25, -6, 127, 39, 44, -28,
+ 13, 37, -22, 9, 24, -9, -36, 121,
+ 7, 15, -10, -3, 2, 20, 15, 32,
+ -4, -71, -12, 57, 107, 21, 11, -9,
+ 50, 2, 44, -6, 17, -5, -44, 13,
+ 81, -6, 37, 7, 3, 56, 10, 2,
+ -20, 44, -36, 7, -6, -31, 17, -5,
+ -11, 20, 2, 61, 115, 0, 11, 3,
+ -8, -23, 3, -70, 4, -65, 11, 9,
+ 52, -19, -51, -16, -3, -34, -32, -49,
+ -61, -12, 0, 49, 23, -52, 119, -12,
+ 32, 68, 8, -5, 12, 32, -14, -18,
+ 37, -11, 45, 6, -68, 9, 35, 15,
+ 10, 89, 114, 38, 53, 26, -1, -51,
+ -24, -85, 25, -50, -10, 20, -16, -22,
+ -6, 127, 21, -7, -127, 12, 9, -18,
+ -42, 6, -58, 27, 1, 24, 18, 16,
+ -14, -2, -52, 63, -95, 10, -13, 127,
+ -35, -22, 6, 112, 64, 10, -16, -20,
+ -39, 1, 0, -19, -101, 5, -1, 110,
+ 2, 44, 7, 4, -49, -17, 17, -8,
+ 37, -61, -7, -6, -16, -99, 73, 2,
+ -16, 22, -2, 18, 15, 4, -27, 24,
+ 11, -47, -3, 15, 127, 21, -7, 15,
+ 15, -20, 3, 26, 127, 38, -38, 0,
+ 6, 37, -10, 7, 23, 1, 36, -128,
+ -10, 13, 29, 16, 17, 39, -27, 8,
+ 98, 5, 14, -75, -126, 12, -10, 30,
+ -31, 19, -36, -55, 0, 28, 83, 86,
+ 11, 6, 15, 41, 13, 38, 9, 12,
+ 15, 14, -21, 13, 116, 14, 0, 9,
+ 10, 99, -53, -14, -128, 8, 19, -5,
+ 5, -30, 2, 60, 36, 75, -69, 6,
+ 53, 28, 44, 27, -33, -30, 36, 7,
+ -59, 11, 80, -71, 44, -39, -42, -25,
+ -38, 13, -123, -28, -24, 23, -58, 33,
+ 4, -29, 16, 67, 19, 126, -7, 9,
+ -32, -7, -34, 51, 5, -5, -16, -3,
+ -41, 5, 23, -7, 26, -11, 126, -12,
+ 37, 60, -2, 14, 11, 0, 42, 43,
+ 11, -51, -50, -28, -15, -3, 21, 16,
+ -119, 55, 21, 71, -9, -17, 13, -60,
+ 112, 36, 55, 2, 5, 0, -7, 1,
+ 47, 4, 18, 44, -36, 51, 0, -41,
+ -47, -66, -9, 39, -19, 54, 11, 4,
+ -71, -35, -33, -17, -40, -92, 125, 31,
+ -28, -7, 25, -19, -89, 14, -94, 61,
+ 124, -29, 8, -123, -8, -65, -30, 38,
+ 2, -23, 23, -80, 5, -43, 21, -19,
+ -13, -17, 20, -23, 24, -126, 26, 8,
+ -27, 12, -111, -6, 42, 20, -126, -33,
+ -22, -81, -1, 42, 8, -59, 42, 96,
+ -11, -10, -44, -41, 6, 39, -3, 6,
+ -43, -30, -38, -8, 121, -41, 17, -13,
+ 101, 7, -98, 1, 26, 35, 27, 15,
+ -56, -10, 4, -23, 12, 80, -25, 8,
+ 8, -14, 1, 33, -17, -4, -18, -7,
+ -44, -80, -63, -50, 16, -125, 75, -17,
+ 8, 16, -53, 5, -30, -6, -83, -16,
+ -22, -78, 13, -7, -89, 5, -6, -10,
+ 11, 39, 8, -72, -28, -126, -32, -7,
+ -19, -1, -8, 38, 6, -34, 5, -1,
+ -12, 48, -71, -5, -11, -126, -33, -17,
+ -3, -17, 1, -83, 7, 8, 60, 27,
+ -1, 14, -69, -11, 27, -5, 73, 3,
+ -27, 64, -28, 2, 3, 22, 0, -12,
+ -41, 3, -25, 16, 9, 25, -27, 21,
+ 22, 11, 0, 1, -1, 16, 6, -9
+};
+
+static const rnn_weight denoise_gru_recurrent_weights[27648] = {
+ -76, -99, -23, -18, 12, -119, -3, -53,
+ 6, 9, -8, -124, 91, -33, 50, 0,
+ -52, 95, 19, 54, 43, 29, -17, -122,
+ -83, -29, -107, -57, -8, -4, -27, 118,
+ -96, 4, 81, -5, 44, -90, -103, 39,
+ -29, -25, -56, -13, 71, -13, -103, -1,
+ -15, -5, -100, -89, -14, 4, -16, 36,
+ -10, -44, 59, -44, -103, -109, 50, 37,
+ 24, -48, -121, -9, -101, 30, 29, -5,
+ -69, 89, 56, -41, 39, -52, -4, -111,
+ -39, 16, -54, 31, -49, 34, -1, 12,
+ -20, -45, -121, -40, -28, -3, -13, -38,
+ 23, -83, -13, -6, 97, 44, 13, 30,
+ -38, 2, -25, -82, 46, 38, -25, 31,
+ -106, 9, 20, -113, 27, 17, 12, -91,
+ 34, -7, 10, -44, 3, -2, -66, -3,
+ -93, -70, -32, -58, -24, 20, -49, -31,
+ 6, 87, -30, -89, 10, 23, -60, -16,
+ -113, 22, -1, -4, 60, -45, -41, 1,
+ 17, -9, 39, -38, -36, -22, 47, 38,
+ -39, 10, -89, -27, 10, 45, 35, 2,
+ 62, 5, 42, 14, 28, -27, 13, 10,
+ -22, -23, -67, 41, -10, 12, -55, -57,
+ -76, -35, -108, 12, -26, 0, -42, 104,
+ -48, -64, 4, -3, 34, -126, -19, -11,
+ 36, 55, -54, -55, -123, -44, -45, 36,
+ -61, 18, 2, -127, 52, -30, -119, 33,
+ -8, -45, -26, -102, -91, 36, 49, 45,
+ 51, -4, 5, -105, 56, -128, -83, 11,
+ -16, 16, -126, -108, -71, 9, -9, 36,
+ -6, -63, -100, -56, -10, -51, -34, -13,
+ 15, -17, -28, 61, -65, -72, 32, -80,
+ 38, -13, 75, 56, -15, 81, 50, 21,
+ -127, 12, -86, 45, -41, 57, 23, 11,
+ -28, -71, -119, -22, -62, 79, -96, 32,
+ -61, 20, 9, -117, -52, 33, -82, 82,
+ -16, -100, -47, -128, 39, -105, -15, 10,
+ -5, 90, -124, 19, -28, -66, -76, -13,
+ -40, 31, -20, -5, -24, 41, 14, 121,
+ -56, 56, 43, -123, -44, -24, 28, 73,
+ -37, -17, -19, -65, 45, 52, 63, -1,
+ 30, 16, 51, -7, 45, -13, -70, 16,
+ -1, -4, -22, -116, -37, 37, -124, -10,
+ 28, 12, -109, 2, 16, -30, 13, 28,
+ -24, 32, -26, -53, 72, 10, 40, 42,
+ -73, 36, 25, -51, 19, 27, 34, -6,
+ 66, 36, -4, 38, -87, -33, 36, -41,
+ 15, 3, -32, -72, 73, 35, -32, -124,
+ 117, -36, 0, -22, -114, 76, 5, -125,
+ 7, 1, -50, -104, 1, -74, 11, 8,
+ -28, -8, 13, -115, -50, 3, 89, 75,
+ 22, 44, -99, -61, 97, 41, -123, -53,
+ 91, 85, 108, -12, 11, -23, 13, 0,
+ -12, 102, -18, -74, -44, 54, -17, 16,
+ 0, 53, 21, -19, 34, -11, 80, 25,
+ -58, 62, -55, 78, -29, 20, 35, 29,
+ -51, 42, 65, -86, -60, -25, 94, 14,
+ 52, -18, 58, -54, 84, -115, -17, 18,
+ -64, -9, 27, -94, -5, -3, -46, 5,
+ 11, 6, -125, -64, -54, 21, 59, -50,
+ 49, 38, 47, -39, 60, 3, -11, 16,
+ 71, -56, -7, 55, 51, -27, -51, -29,
+ 7, -6, -63, 89, -16, 36, -76, -35,
+ -102, -93, 11, -84, -5, -25, -59, -6,
+ -19, -8, -23, -121, -60, -126, -71, 8,
+ -17, -128, -95, 15, 13, 64, 37, 16,
+ 23, -78, 36, -111, -8, 69, -53, 62,
+ -37, 7, 9, -25, -63, -66, -25, -53,
+ -36, -7, -47, -40, -50, -42, -81, 127,
+ 70, -22, -107, -115, 11, 95, -54, 12,
+ 1, 15, 62, -14, -127, 47, 72, -43,
+ -2, -4, 127, 11, 22, 20, 11, -10,
+ 4, 26, 71, -3, 85, -42, -9, -10,
+ -35, 27, 34, 35, 35, 0, -23, 27,
+ 43, 0, 68, -13, 34, -21, 1, 70,
+ -34, 22, 16, 17, -11, -27, 0, -65,
+ 41, -40, -28, -27, 18, 3, 1, 37,
+ -36, 16, 44, -17, 61, -32, 50, 3,
+ 11, 1, -18, 24, -38, 19, 21, -8,
+ 3, 50, 28, -14, -55, 6, 0, -23,
+ 12, -17, 32, -18, 20, 22, -15, -2,
+ -17, -23, 48, -14, -9, -41, -4, -10,
+ 20, -11, 23, -10, 40, -3, -4, -38,
+ 4, -18, 8, 61, -7, 23, -31, -24,
+ -7, 45, -81, 12, -49, -19, -7, 38,
+ 52, -26, 25, -54, -5, 23, 17, -14,
+ -32, 46, 1, 18, -24, 2, -94, 21,
+ 34, -24, 36, -7, -11, 35, -62, 19,
+ 15, -47, 45, 5, 30, 26, -23, -38,
+ -48, 6, 77, 50, 9, 25, 11, -29,
+ -7, 13, 12, 14, 40, 33, 21, 62,
+ -6, -27, 38, -45, -1, 87, 11, -27,
+ -20, 43, -68, -28, 27, 25, 3, -13,
+ 53, -38, 4, 44, -41, -72, -7, -39,
+ 41, -25, -35, 86, -59, 41, 127, -56,
+ 34, -38, -25, 22, 0, -22, -24, -1,
+ -65, 19, -23, 25, -20, 79, -68, -87,
+ -123, -123, -28, -76, -114, -10, 1, -95,
+ -126, -128, 10, -68, -103, -11, -122, 127,
+ -119, -43, -28, -55, 69, -76, 60, 106,
+ 122, -118, -40, -50, -11, -25, -30, -18,
+ 39, -22, -80, -77, 121, -23, -88, -23,
+ -20, 80, 35, 71, -75, -114, -128, 127,
+ 23, 11, 38, -52, -41, 7, -127, 29,
+ 37, -74, -59, -47, 126, -16, -92, 10,
+ -92, 4, -59, 2, -127, -87, 126, 24,
+ 122, -79, 97, 98, 1, 41, -61, -124,
+ 71, -25, 37, -48, 32, 85, 34, 56,
+ -21, -31, 0, 85, -11, -10, 41, 14,
+ -41, 7, -17, 97, -79, 84, -98, -34,
+ 17, -1, -60, 15, 39, -37, -35, 16,
+ 26, -15, -37, 49, -20, -25, -56, -13,
+ 5, 16, 6, 77, 67, 123, 96, 5,
+ 29, -17, 46, -10, -23, 57, -79, 29,
+ -28, -17, 52, 86, -30, 6, 14, 51,
+ 125, 17, -23, 90, 47, -8, -19, -42,
+ -19, 118, 27, 20, 38, 36, 12, 122,
+ 42, 4, -14, -5, 1, 36, -6, 29,
+ -53, 15, 8, 21, 32, 31, -35, -2,
+ -56, -18, 12, 74, 48, 5, -4, 33,
+ 60, -92, -21, 44, 92, -62, -2, 35,
+ 4, 48, 69, -45, 73, -35, 3, 28,
+ 81, -48, 18, -34, 29, 123, -32, 29,
+ 6, 9, -118, 4, 30, -1, -24, 65,
+ 3, 34, 40, 20, -13, -53, -50, 31,
+ 9, -86, -87, -36, -57, -27, -35, -30,
+ -123, 18, 8, -107, -6, 5, 48, 21,
+ -54, -1, 60, 61, 26, -1, 12, -11,
+ 41, -26, 110, 29, 27, 8, 48, 43,
+ -12, 123, -33, -8, -91, 122, 9, 120,
+ -18, 71, -23, 63, -34, -20, 30, 46,
+ -45, -24, 24, 57, -20, -15, -123, 3,
+ 5, 59, 13, -87, 45, -15, -28, 38,
+ -3, 29, -23, -6, 31, 69, 33, -4,
+ -64, -31, -48, -1, -4, 23, 53, -4,
+ 1, 96, 29, -44, -123, -19, 3, 32,
+ 80, -28, 6, -57, 2, -67, -18, -50,
+ 16, -125, -87, -25, -51, -127, -23, 5,
+ 0, 62, 90, 67, -41, -11, 41, -64,
+ -67, 15, -3, 78, -86, -11, 30, -10,
+ -57, 23, -41, 23, 4, -103, -57, -119,
+ -94, -94, 69, -19, 48, 23, -32, -20,
+ -58, -17, 60, 113, 69, 57, -27, 24,
+ -25, -2, 23, 3, 8, -37, -35, -9,
+ 5, -23, -38, -19, 26, 6, -49, 3,
+ 95, 45, 0, 15, -102, 3, -46, -1,
+ -19, -2, 2, -86, 14, -3, 45, -20,
+ 22, 23, -75, 93, 38, 54, -44, 107,
+ -87, 80, 19, 20, -54, 73, 4, 50,
+ 14, -5, 32, 7, 32, 7, -46, 10,
+ -21, 8, -40, -45, 55, 33, 17, 31,
+ 44, -10, 88, -11, -14, 29, 32, 54,
+ 116, 33, -53, 107, -88, -34, 47, 124,
+ 18, 14, -1, 5, 1, -39, 21, -15,
+ 58, -27, -70, 100, -37, -25, 4, -56,
+ 69, -22, 23, 3, -53, 20, -10, -48,
+ 22, -95, -14, 39, -43, -70, 35, -6,
+ 8, -95, -86, 9, 22, -59, 121, -127,
+ -1, 62, -18, 14, -13, 56, 76, -80,
+ -62, 10, 74, -56, 16, -11, 34, -52,
+ 50, -7, 40, -61, 38, -38, 31, -51,
+ 16, 23, -17, 25, 42, -51, 101, -19,
+ 8, -19, -4, -46, -115, 3, 126, 41,
+ 2, -1, -66, -26, -110, -49, -72, -39,
+ 20, 92, -23, 60, -34, 80, -23, 32,
+ -4, 56, 59, -82, 81, 127, 61, -17,
+ 44, -49, 33, -38, -119, 68, 74, -38,
+ 87, -15, -21, -21, -70, -7, -8, -46,
+ -7, -107, 42, 20, -108, -37, -5, 7,
+ -123, 30, -125, -17, -48, 79, 26, -103,
+ -42, -18, 4, 48, -21, 14, 34, 12,
+ 27, 37, 74, 57, -124, -5, -4, 5,
+ 55, -36, 44, 64, 3, -48, -37, 51,
+ -45, 95, -59, -32, 5, 28, -80, 24,
+ 18, -86, -6, -83, 5, -8, -16, 4,
+ -113, -23, 9, -24, -86, 8, -30, 16,
+ 72, 12, 41, -55, -18, 101, -5, -17,
+ -108, -15, 62, -36, 29, 5, -16, 64,
+ -8, -10, -42, 22, -128, -37, 43, 82,
+ -42, -93, -20, -29, 46, 29, -41, 4,
+ 18, -12, -51, 53, -43, 1, -61, 7,
+ 21, 7, -94, -11, 99, 89, 84, -14,
+ 14, -59, 56, 46, 22, -11, -35, 4,
+ 40, -68, -32, 100, -8, 48, 1, 17,
+ 1, 20, -4, 98, 3, 0, -21, 15,
+ 39, 27, 66, -8, -37, 3, -8, -17,
+ -39, -53, -10, 9, 28, 82, -10, 33,
+ -36, -14, -47, 25, -8, -24, 8, 14,
+ 10, -31, -44, -31, -53, 77, -18, -76,
+ 35, -3, 124, -4, 92, 92, 34, 90,
+ 125, 10, 63, 38, -16, 41, -4, 3,
+ 27, 93, 62, 23, -48, 6, -36, -42,
+ -3, -3, -50, 2, 64, -36, -79, 122,
+ 79, 22, 32, 19, 22, 34, -24, 5,
+ -11, 23, 38, -65, -15, -3, 61, -7,
+ -6, -41, -37, 15, -5, 1, 52, 11,
+ -42, -54, -7, 18, -34, 65, 113, -3,
+ -29, 61, 5, -36, -12, 106, 10, -95,
+ 57, 124, 95, 32, -25, -26, 4, 13,
+ 43, -22, -38, -26, 17, -46, -4, -122,
+ -39, 40, 79, 45, -48, -35, -74, 60,
+ -34, 50, 69, -68, -10, 94, -67, -80,
+ 80, 55, 46, -61, 2, 14, 77, 8,
+ 21, 4, 68, 53, 108, -3, -30, -18,
+ -102, -127, -12, 8, 77, -86, 27, -127,
+ -26, 100, -8, -77, -128, -47, -51, 2,
+ -111, -11, 13, -23, 44, -123, -2, 28,
+ 21, -71, -124, 9, 28, -18, 66, 53,
+ 64, 83, -31, 28, -8, 36, -21, 9,
+ 8, -46, -23, -101, 12, -73, -49, -38,
+ 52, 106, -82, 57, 41, -17, 59, 20,
+ -74, -7, 10, 28, 3, -15, 0, -92,
+ -9, -29, -64, 106, 36, -106, 4, -46,
+ -114, -59, -104, -71, -128, -68, -41, -4,
+ 56, -115, 51, -34, 29, -21, -24, 14,
+ -59, -113, -57, 4, -6, 78, 24, -4,
+ 23, 23, -12, -4, -24, -17, -79, 23,
+ -16, 17, -31, 6, 29, 26, 14, -50,
+ 37, 27, -13, 22, 15, 1, 0, 72,
+ -62, 58, -6, -38, 18, 90, -2, 14,
+ 65, 41, 48, 59, 53, 12, 55, 9,
+ 14, 38, 34, -35, 19, 25, 55, 31,
+ -22, 22, 81, 48, 14, -15, -49, 19,
+ 67, -54, 20, 13, 8, 3, 7, 32,
+ 6, -6, -11, 19, 66, 40, 35, 19,
+ 12, 29, -45, -61, 54, 105, 56, -20,
+ 7, 46, 5, 4, 60, 10, 37, -19,
+ -37, 66, 44, 15, 19, 35, -21, 29,
+ 55, 16, 61, 85, -26, -3, -93, -30,
+ 9, -36, 2, -42, -67, -32, -23, -2,
+ 15, 79, 27, -17, -4, -126, -29, 18,
+ -3, -40, -118, -28, 10, 42, 64, -30,
+ -9, 101, 4, 6, -20, -53, -10, 18,
+ -14, -62, -29, 8, -38, -3, 9, -21,
+ -26, 63, 31, -5, 20, -28, 33, -25,
+ -46, 6, 65, -6, 94, -13, 9, -8,
+ 15, -21, 114, 12, -8, -42, -116, 5,
+ -22, -2, 1, -27, -18, 8, 4, -70,
+ 14, 65, -22, -9, -23, -1, 56, 15,
+ -55, 20, 20, 44, -14, -70, -27, 33,
+ 24, -12, 45, 78, 69, 50, -48, 91,
+ 100, -29, 43, 19, 126, 57, -46, 16,
+ 77, 70, -65, -18, 101, -27, -22, -53,
+ 73, 39, 126, 96, -125, -20, -124, 19,
+ 15, -99, 72, 36, -11, 108, 91, -123,
+ -6, -49, -68, 61, -54, 107, 9, -35,
+ 63, 126, 33, -4, 23, 61, 127, -10,
+ -126, -1, -20, 29, 43, 20, -68, 56,
+ -40, 43, -90, 72, -37, 38, -48, 57,
+ -58, 48, -8, -57, 76, 36, 28, -34,
+ -110, -15, -116, 103, -30, 29, 14, 126,
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+ 33, 21, 54, -3, 20, 46, 20, -34,
+ 33, -71, -32, 8, -24, 8, -29, -19,
+ -7, 116, -27, 52, -9, 26, 121, 54,
+ -86, -5, -66, 44, -40, 56, -21, -38,
+ -24, -42, 2, -20, -11, 23, -8, -7,
+ -101, -44, 15, 38, 60, -15, -3, -4,
+ 50, -12, -91, 10, -49, 7, 31, 30,
+ -61, -55, 20, -100, 17, 13, -57, 32,
+ 88, -62, 56, -23, -9, -8, 3, 26,
+ 4, 2, 9, 70, 11, 36, -30, -126,
+ -55, 71, 28, 47, 94, 44, -8, 20,
+ -3, 6, 18, 56, 124, 78, 1, 19,
+ -57, -19, -121, 42, 54, -51, -12, -39,
+ -44, -16, -80, -77, 31, 16, -13, -76,
+ 29, -2, 1, -47, -4, 59, 79, -10,
+ 22, -35, 69, -50, 7, -17, 64, -58
+};
+
+static const rnn_weight denoise_gru_bias[288] = {
+ -41, -76, -24, -96, 25, 117, -55, 54,
+ -73, -28, 53, -79, 20, -8, -87, 28,
+ 44, 38, -66, -19, -45, 25, 119, 78,
+ 54, -92, 31, 13, -3, -13, -28, -67,
+ 3, 31, 54, -48, -16, -97, -12, 2,
+ -117, -48, -24, 56, 18, 115, -59, 126,
+ -30, 6, 16, -126, -11, -6, 15, -67,
+ 33, -113, 59, -12, 126, -3, 61, 58,
+ -71, -4, 42, 41, -48, 11, -33, 50,
+ 43, 4, 0, 15, -46, -16, 23, -18,
+ 8, -30, 13, 66, 77, -6, 34, 103,
+ 40, 50, 39, 72, -10, 22, -16, 24,
+ 1, 127, -9, -48, -55, -27, 36, -16,
+ 90, 4, 12, -17, 59, 23, -34, 20,
+ -84, 19, 41, 121, 116, 111, -10, -127,
+ 41, 44, 4, 34, -1, 20, -11, 2,
+ 127, -127, 44, 16, 21, 126, 66, 125,
+ 126, 78, 25, 45, 72, 3, 123, 40,
+ 105, -62, 25, -105, 44, 33, 13, -51,
+ 119, 126, 126, 53, 0, -88, -32, -27,
+ -33, -18, 11, 1, 27, -62, -6, -57,
+ 71, 46, 21, -7, -6, -55, 127, 30,
+ -41, -6, -21, -21, -38, 87, -16, 34,
+ 44, -126, -112, -30, 61, -17, 115, 1,
+ -39, 19, -43, 76, -64, 48, -13, 11,
+ 73, 71, 93, 104, 23, 10, 63, 34,
+ -7, 126, 57, 3, 127, 15, -71, -126,
+ -25, 125, 7, 7, 39, -18, -27, 126,
+ 95, -127, -95, 36, -4, 125, 37, 72,
+ 127, -29, 69, 84, 99, 39, 127, 40,
+ -127, -92, 0, 127, -14, 70, 39, -98,
+ 25, 127, -54, 48, 47, 19, -21, 93,
+ 61, 127, 3, -62, 127, -75, 24, -3,
+ -18, 102, 40, -6, -14, -36, -41, 46,
+ 89, -17, 29, -55, 7, -10, -59, 22,
+ -21, 25, 18, -58, 25, 126, -84, 127
+};
+
+static const GRULayer denoise_gru = {
+ denoise_gru_bias,
+ denoise_gru_weights,
+ denoise_gru_recurrent_weights,
+ 114, 96, ACTIVATION_RELU
+};
+
+static const rnn_weight denoise_output_weights[2112] = {
+ 24, 90, 127, 108, 73, 38, 24, 13,
+ 4, 16, 41, 51, 46, 35, 24, 14,
+ 19, 23, 27, 23, 11, 10, 14, -1,
+ 20, 67, 122, 95, 44, 11, 4, 5,
+ 8, 15, 19, 17, 11, 5, 1, -2,
+ -1, 5, 5, 1, 28, 2, -25, -16,
+ -83, -45, 4, 36, 29, 24, 20, 12,
+ -1, -2, 4, 13, 17, 18, 21, 22,
+ 20, 11, -11, -26, -15, -21, -18, -15,
+ -22, -22, -18, -22, -25, -20, -24, -25,
+ -19, -21, -22, -16, -18, -24, -22, -7,
+ 6, 26, 25, 7, 12, 17, 11, 4,
+ 11, 11, 1, 1, 6, 14, 19, 11,
+ 13, 29, 37, 14, -16, -45, -3, -8,
+ -17, -22, -19, -11, -19, -21, -22, -24,
+ -25, -20, -19, -14, -7, -5, -3, -1,
+ 0, 1, 14, 13, 10, -12, 27, 5,
+ -33, 11, 51, 26, -23, -22, -11, -8,
+ -4, -8, -21, -32, -41, -45, -43, -39,
+ -34, -16, -3, 2, -7, -10, -16, -12,
+ -12, -8, -4, 1, 24, 53, 81, 98,
+ 99, 80, 60, 54, 49, 38, 16, 5,
+ 0, 15, 5, 14, 11, 12, 3, 7,
+ 16, 19, 17, 10, 6, 1, -11, -11,
+ -18, -26, -31, -26, -17, -14, -2, -15,
+ -23, -27, -28, -31, -25, -29, -36, -37,
+ -26, -22, -17, -15, -18, -17, -14, -14,
+ -9, -9, 1, 4, 1, -6, -29, -23,
+ -21, -14, -24, -24, -20, -21, -16, -13,
+ -14, -15, -12, -16, -13, -10, -10, -7,
+ 4, 18, -8, -11, -24, -12, -6, -10,
+ -14, -21, -21, -20, -15, -22, -53, -65,
+ -58, -43, -27, -31, -38, -45, -48, 0,
+ -5, -8, -4, 2, 10, 12, 12, 6,
+ 12, 21, 25, 22, 23, 23, 26, 38,
+ 44, 41, 38, 36, 24, 18, -21, -31,
+ -28, -37, -20, -5, -4, -15, -14, -16,
+ -21, -21, -9, -10, -8, 0, -5, 4,
+ 20, 14, 15, 47, 26, 26, 25, 5,
+ 3, 8, 17, 17, 10, 14, 14, 4,
+ 0, 5, 6, 12, 12, 11, 14, 28,
+ 47, 62, 8, 8, -7, 2, 2, 2,
+ -5, -4, 2, 2, -4, -5, -11, -22,
+ -34, -46, -53, -55, -45, -39, -35, -43,
+ -15, -7, 24, 40, 50, 55, 62, 63,
+ 60, 58, 50, 48, 46, 47, 45, 40,
+ 30, 20, 12, 7, 3, 4, -9, 2,
+ -13, -9, -13, -15, -20, -17, -19, -32,
+ -45, -54, -65, -67, -63, -62, -48, -24,
+ -11, 5, 11, -38, -5, -7, -8, -12,
+ -17, -15, -11, -7, -8, -12, -10, -11,
+ -14, -13, -14, -17, -7, 12, 24, 15,
+ -11, -79, -1, 14, -8, 26, 14, 13,
+ 13, 6, -16, -16, 10, 28, 16, 5,
+ -1, -1, 5, 9, 7, 6, 8, 14,
+ -10, -7, -2, -1, -9, -18, -20, -18,
+ -13, -11, -14, -20, -29, -37, -46, -46,
+ -48, -54, -56, -72, -83, 11, 0, 11,
+ 37, 45, 52, 80, 118, 96, 33, -10,
+ -13, -10, 4, 7, -6, -3, 5, 3,
+ -2, -9, -9, -7, -4, -3, 12, 13,
+ 17, 24, 20, 16, 10, 11, 15, 17,
+ 11, 3, 1, -1, -6, -9, -5, -14,
+ -21, -16, 8, 1, -10, 5, -3, -51,
+ -14, -10, -28, -27, -21, -14, -4, -3,
+ -6, 1, 5, 4, 5, 13, 11, -1,
+ -3, 5, 11, 30, 37, 34, 31, 27,
+ 24, 24, 29, 34, 28, 25, 29, 27,
+ 29, 30, 36, 38, 38, 8, -17, -18,
+ -41, -58, -45, -39, -51, -52, -40, -47,
+ -60, -52, -38, -25, -27, -36, -43, -33,
+ -19, -3, 1, -3, 3, 1, 6, 14,
+ 12, 9, 6, 3, 8, 13, 10, 8,
+ 15, 31, 46, 69, 82, 81, 76, 67,
+ 42, 15, 14, 28, 21, 36, 42, 27,
+ 28, 26, 20, 11, 7, 4, 7, 6,
+ 7, 20, 26, 17, 12, 1, -13, -22,
+ -16, -23, -16, -9, -11, -10, -12, -10,
+ -5, -6, -8, -6, -3, -2, 9, 10,
+ 7, 7, 9, 22, 34, 25, -5, -8,
+ -3, 2, -14, -7, -2, 1, 7, 33,
+ 56, 59, 58, 42, 2, -11, -10, -11,
+ -10, -12, -10, -4, 9, 14, 21, 11,
+ 9, 6, 7, 8, 13, 16, 18, 22,
+ 26, 30, 30, 30, 26, 18, 9, 5,
+ 2, 3, -18, -29, -57, -45, -39, -45,
+ -35, -19, -7, -6, -2, -4, -11, -13,
+ -1, 0, -6, -22, -47, -50, -18, 12,
+ -13, -19, -45, -41, -43, -38, -34, -31,
+ -31, -21, -13, -10, -13, -13, -9, -8,
+ -9, -9, -6, -4, -4, 2, -9, -18,
+ -6, 2, 0, 5, 8, 5, 5, 7,
+ 8, 7, 6, 2, -5, -6, -2, 3,
+ 3, -8, -14, -1, 45, 35, 41, 21,
+ 32, 31, 20, 17, 22, 20, 19, 16,
+ 10, 4, 11, 15, 6, 4, 13, 4,
+ -7, -18, 7, -26, -11, 9, -12, -28,
+ -34, -16, -2, -8, -20, -20, -27, -10,
+ 2, 4, 9, 1, -4, 4, 9, -1,
+ 84, 95, 23, 17, 19, 21, 17, 25,
+ 32, 23, 8, 2, 5, 9, 13, 17,
+ 16, 16, 16, 18, 23, 24, -27, -32,
+ -10, -21, -8, -1, -10, -10, -5, -1,
+ 2, 1, 3, 0, -9, -11, -10, 0,
+ 10, 9, 18, 28, 12, 18, 15, 11,
+ 2, 1, -4, 4, 8, 7, 8, 7,
+ 3, 4, 3, 11, 14, 4, -5, -2,
+ 3, -29, -4, -2, -7, 0, -4, -7,
+ -16, -7, 5, 2, 0, 0, -3, 2,
+ 5, 1, -3, -18, -63, -113, -128, -117,
+ -23, -13, -2, -21, -21, -29, -54, -37,
+ -2, -2, -17, -29, -35, -29, -19, -16,
+ -14, -16, -19, -16, -15, -21, 28, 19,
+ 29, 20, 30, 19, 13, 12, 11, 14,
+ 17, 20, 28, 29, 25, 24, 24, 32,
+ 31, 34, 60, 97, -37, -41, -57, -61,
+ -54, -50, -54, -57, -49, -49, -47, -45,
+ -45, -50, -56, -59, -54, -49, -52, -60,
+ -51, -40, -16, -16, 0, -9, -16, -11,
+ -5, -6, -10, -17, -27, -35, -29, -31,
+ -40, -42, -44, -38, -31, -25, -23, -6,
+ -5, -2, -17, -38, -24, -16, -19, -12,
+ 12, 38, 47, 37, 24, 6, -15, -9,
+ 13, 37, 61, 56, 11, -7, 27, 18,
+ -10, -14, -14, -14, -19, -18, -13, -12,
+ -12, -13, -15, -11, -5, -6, -8, -8,
+ -7, -4, -1, -8, -4, 0, -9, 2,
+ 2, 6, -4, -7, -4, -6, -7, -12,
+ -15, -17, -10, -8, -15, -21, -25, -31,
+ -72, -127, -128, 20, 42, 17, 8, -4,
+ 1, 6, 3, -18, -28, -2, 1, 5,
+ 28, 8, -3, 8, 16, 24, 15, 0,
+ -9, 19, 12, 16, 43, 69, 55, 41,
+ 35, 22, 14, 8, 3, 8, 16, 20,
+ 26, 33, 34, 30, 19, 15, -10, -12,
+ -10, -10, -7, -11, -3, -4, -8, -7,
+ -2, 1, 0, -3, -7, -8, -8, -6,
+ -1, -2, -4, -4, -76, -91, -66, -74,
+ -76, -41, -48, -47, -44, -41, -39, -36,
+ -42, -48, -37, -37, -39, -41, -47, -58,
+ -68, -70, -78, -79, -69, -70, -70, -67,
+ -72, -72, -72, -68, -63, -60, -58, -58,
+ -55, -53, -49, -43, -43, -37, -34, -16,
+ -6, -3, -1, -11, -7, -4, -3, -3,
+ -2, 2, 1, -6, -7, -11, -11, -3,
+ -17, -41, -58, -44, -36, -43, 6, -15,
+ -19, -19, -21, -17, 0, 16, 16, 13,
+ 12, -5, 0, -4, -27, -27, -12, -3,
+ 0, -2, -7, -15, 7, 0, -8, -6,
+ -2, 8, 4, 0, -5, -7, -11, -13,
+ -13, -11, -7, -9, -9, -6, -10, -5,
+ 6, 0, 37, 34, 32, 43, 40, 35,
+ 34, 36, 40, 38, 35, 38, 37, 40,
+ 44, 37, 31, 30, 25, 38, 44, 23,
+ 18, 10, 8, 8, 3, 5, 4, 2,
+ 3, 6, 6, 5, 7, 6, -3, -8,
+ -8, -13, -14, -24, -17, 9, -110, 22,
+ -17, -65, -43, -35, 5, 5, -19, -29,
+ -27, -18, -11, -6, -4, -6, -10, -9,
+ -4, 1, 3, 2, 36, -40, -99, -102,
+ 20, 27, 7, -16, -27, -30, -23, -15,
+ -6, 1, 3, -2, -8, -10, -9, 4,
+ 8, -10, -44, -30, -9, -2, -5, -15,
+ -9, -3, 1, -2, -18, -17, -21, -26,
+ -25, -34, -38, -44, -46, -46, -38, -87,
+ 43, 32, 14, 5, 8, 12, 10, 4,
+ -12, -14, -4, 2, -1, -7, -6, 2,
+ 3, -3, -2, -1, 4, 14, -89, -105,
+ -6, -8, 0, 1, -3, -7, -8, -4,
+ 8, 15, 9, 3, -1, -5, -6, -4,
+ -2, 1, 5, 9, -4, -6, -1, -1,
+ -6, -1, -5, -3, 0, -3, -4, -2,
+ -4, -5, -5, -10, -9, -5, -8, -14,
+ -20, -44, -20, -5, 1, 20, 22, -17,
+ -35, -38, -33, -23, -2, 8, 10, 7,
+ -2, -40, -59, -50, -30, -8, -17, -32,
+ -125, -75, -53, -13, -1, -9, -12, -12,
+ -9, -7, -3, -1, -4, -9, -11, -13,
+ -8, -10, -14, -6, -6, -24, 46, -1,
+ 8, -6, 4, 0, 34, 19, -20, -27,
+ -23, -19, -6, 3, 15, 33, 37, 29,
+ 22, 11, 3, -6, 1, 0, 12, 7,
+ 3, -4, 3, 3, 7, 12, 6, -1,
+ -2, -5, -4, -6, -7, -4, -3, -1,
+ 3, 8, -7, 1, 9, 5, -1, -3,
+ -7, -3, 3, 6, 10, 7, 1, 0,
+ 2, 0, 1, -3, -5, 2, 2, -9,
+ 5, -2, -25, -17, -17, -14, -14, -13,
+ -24, -38, -48, -48, -43, -31, -24, -17,
+ -13, -12, -12, -12, -5, 7, 21, 21,
+ -5, 4, 10, -3, 2, 7, 8, 8,
+ 6, 6, 3, -3, -11, -15, -13, -12,
+ -20, -26, -28, -41, 30, 17, 18, 26,
+ 24, 22, 22, 32, 40, 39, 34, 32,
+ 27, 34, 36, 26, 20, 18, 23, 35,
+ 41, 27, -10, -7, 1, 7, 8, 0,
+ 6, 14, 15, 11, 6, 7, 7, 6,
+ 10, 11, 11, 14, 14, 17, 33, 71,
+ 17, 10, -6, -1, 12, 14, 7, 7,
+ 18, 15, 2, -7, -6, 0, 5, 7,
+ 2, -3, -5, -6, -1, 4, -11, 6,
+ 5, 3, 10, 13, 9, 5, 14, 19,
+ 9, -4, -17, -18, -9, 1, 3, 5,
+ 17, 38, 53, 31, -34, -26, -28, -22,
+ -17, -24, -23, -21, -26, -21, -21, -25,
+ -20, -17, -13, -19, -16, -23, -31, -23,
+ -9, -20, 21, 26, 16, 13, 20, 11,
+ 15, 19, 19, 18, 24, 26, 29, 27,
+ 29, 25, 25, 15, 28, 38, 44, 59,
+ 14, 18, 31, 37, 42, 40, 43, 45,
+ 49, 54, 54, 56, 53, 50, 43, 37,
+ 30, 26, 23, 20, 14, 10, 9, 11,
+ 16, 5, 15, 12, 14, 15, 13, 12,
+ 14, 17, 17, 16, 16, 16, 15, 6,
+ 4, 2, -14, 2, 0, -2, -7, 18,
+ 26, 20, 22, 29, 29, 14, 9, 17,
+ 21, 12, 2, 5, 9, 14, 10, 5,
+ 2, 5, 86, 127, 127, 68, 29, -3,
+ -3, 15, 23, 28, 31, 21, 5, -3,
+ -7, -5, -2, -1, -6, -17, -18, -14,
+ 3, -2, -24, -29, -32, -33, -40, -46,
+ -45, -45, -45, -44, -42, -39, -35, -29,
+ -28, -29, -28, -23, -7, 9, 24, 37,
+ 62, 62, 67, 64, 59, 76, 105, 95,
+ 61, 41, 28, 23, 23, 18, 14, 19,
+ 22, 22, 14, 11, -51, -39, -20, -13,
+ -13, -6, -5, -7, -9, -14, -15, -18,
+ -25, -26, -30, -35, -35, -44, -44, -51,
+ -71, -105, -16, -4, -18, 2, 28, 7,
+ -3, 7, 13, 3, -3, 2, 9, 14,
+ 14, 5, -8, -14, -4, 17, 47, 98,
+ -23, -41, -55, -45, -41, -38, -34, -32,
+ -31, -29, -25, -22, -19, -17, -14, -13,
+ -13, -13, -14, -13, -4, 0, 14, 26,
+ 11, 2, 4, -7, -8, -15, -22, -28,
+ -26, -9, 6, 14, 11, -3, -4, -1,
+ 3, 31, 65, 45, 4, -1, 37, 31,
+ 2, -7, -21, -29, -20, 5, 10, -10,
+ -13, -13, -8, 1, 4, -4, -12, -31,
+ -15, 39, -3, -6, -12, -16, -24, -27,
+ -31, -28, -30, -38, -45, -45, -48, -50,
+ -50, -46, -43, -41, -38, -39, -34, -34,
+ 15, 16, 3, 2, 10, 12, -4, -2,
+ 15, 26, 25, 21, 27, 35, 44, 43,
+ 28, 21, 43, 42, 17, 40, 9, 7,
+ 10, 12, 10, 5, 1, 5, 11, 11,
+ 9, 10, 16, 19, 22, 34, 44, 51,
+ 48, 48, 48, 60, -43, -29, -12, -2,
+ -9, -24, -19, -13, -12, -14, -15, -13,
+ -17, -18, -19, -19, -17, -20, -23, -34,
+ -39, -44, -6, -31, -32, -25, 52, 106,
+ 110, 19, -4, -14, -13, -5, -2, -8,
+ 2, 6, 5, 11, 15, 20, 38, 61,
+ -40, -19, -2, -5, -2, -4, -1, -6,
+ -8, -6, -8, -4, -5, -4, 3, 0,
+ -2, -4, -5, -3, -14, -24, -16, -24,
+ -22, 2, -2, -29, -33, -27, -23, -25,
+ -24, -16, -18, -17, 5, 38, 47, 41,
+ 37, 27, 13, 0, 67, 78, 39, -26,
+ -7, -10, -15, -6, 3, -3, -5, -3,
+ -2, 0, 3, 1, -3, -4, -3, -1,
+ 1, 0, -2, -15, 24, -12, -48, 24,
+ -26, -82, -69, -40, -15, -16, -9, -1,
+ 7, 12, 18, 20, 26, 33, 27, 30
+};
+
+static const rnn_weight denoise_output_bias[22] = {
+ -82, -66, -125, -95, -127, -127, -127, -127,
+ -127, -94, -113, -127, -80, -65, -109, -127,
+ -126, -105, -53, -49, -18, -9
+};
+
+static const DenseLayer denoise_output = {
+ denoise_output_bias,
+ denoise_output_weights,
+ 96, 22, ACTIVATION_SIGMOID
+};
+
+static const rnn_weight vad_output_weights[24] = {
+ 127, 127, 127, 127, 127, 20, 127, -126,
+ -126, -54, 14, 125, -126, -126, 127, -125,
+ -126, 127, -127, -127, -57, -30, 127, 80
+};
+
+static const rnn_weight vad_output_bias[1] = {
+ -50
+};
+
+static const DenseLayer vad_output = {
+ vad_output_bias,
+ vad_output_weights,
+ 24, 1, ACTIVATION_SIGMOID
+};
+
+const struct RNNModel rnnoise_model_orig = {
+ 24,
+ &input_dense,
+
+ 24,
+ &vad_gru,
+
+ 48,
+ &noise_gru,
+
+ 96,
+ &denoise_gru,
+
+ 22,
+ &denoise_output,
+
+ 1,
+ &vad_output
+};
diff --git a/src/rnn_data.h b/src/rnn_data.h
new file mode 100644
index 0000000..f2186fe
--- /dev/null
+++ b/src/rnn_data.h
@@ -0,0 +1,34 @@
+#ifndef RNN_DATA_H
+#define RNN_DATA_H
+
+#include "rnn.h"
+
+struct RNNModel {
+ int input_dense_size;
+ const DenseLayer *input_dense;
+
+ int vad_gru_size;
+ const GRULayer *vad_gru;
+
+ int noise_gru_size;
+ const GRULayer *noise_gru;
+
+ int denoise_gru_size;
+ const GRULayer *denoise_gru;
+
+ int denoise_output_size;
+ const DenseLayer *denoise_output;
+
+ int vad_output_size;
+ const DenseLayer *vad_output;
+};
+
+struct RNNState {
+ const RNNModel *model;
+ float *vad_gru_state;
+ float *noise_gru_state;
+ float *denoise_gru_state;
+};
+
+
+#endif
diff --git a/src/rnn_reader.c b/src/rnn_reader.c
new file mode 100644
index 0000000..2a031db
--- /dev/null
+++ b/src/rnn_reader.c
@@ -0,0 +1,168 @@
+/* Copyright (c) 2018 Gregor Richards */
+/*
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions
+ are met:
+
+ - Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+
+ - Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+ ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+ LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+ A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE FOUNDATION OR
+ CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+ EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+ PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+ PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+ LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+ NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+ SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+*/
+
+#ifdef HAVE_CONFIG_H
+#include "config.h"
+#endif
+
+#include <stdio.h>
+#include <stdlib.h>
+#include <sys/types.h>
+
+#include "rnn.h"
+#include "rnn_data.h"
+#include "rnnoise.h"
+
+/* Although these values are the same as in rnn.h, we make them separate to
+ * avoid accidentally burning internal values into a file format */
+#define F_ACTIVATION_TANH 0
+#define F_ACTIVATION_SIGMOID 1
+#define F_ACTIVATION_RELU 2
+
+RNNModel *rnnoise_model_from_file(FILE *f)
+{
+ int i, in;
+
+ if (fscanf(f, "rnnoise-nu model file version %d\n", &in) != 1 || in != 1)
+ return NULL;
+
+ RNNModel *ret = calloc(1, sizeof(RNNModel));
+ if (!ret)
+ return NULL;
+
+#define ALLOC_LAYER(type, name) \
+ type *name; \
+ name = calloc(1, sizeof(type)); \
+ if (!name) { \
+ rnnoise_model_free(ret); \
+ return NULL; \
+ } \
+ ret->name = name
+
+ ALLOC_LAYER(DenseLayer, input_dense);
+ ALLOC_LAYER(GRULayer, vad_gru);
+ ALLOC_LAYER(GRULayer, noise_gru);
+ ALLOC_LAYER(GRULayer, denoise_gru);
+ ALLOC_LAYER(DenseLayer, denoise_output);
+ ALLOC_LAYER(DenseLayer, vad_output);
+
+#define INPUT_VAL(name) do { \
+ if (fscanf(f, "%d", &in) != 1 || in < 0 || in > 128) { \
+ rnnoise_model_free(ret); \
+ return NULL; \
+ } \
+ name = in; \
+ } while (0)
+
+#define INPUT_ACTIVATION(name) do { \
+ int activation; \
+ INPUT_VAL(activation); \
+ switch (activation) { \
+ case F_ACTIVATION_SIGMOID: \
+ name = ACTIVATION_SIGMOID; \
+ break; \
+ case F_ACTIVATION_RELU: \
+ name = ACTIVATION_RELU; \
+ break; \
+ default: \
+ name = ACTIVATION_TANH; \
+ } \
+ } while (0)
+
+#define INPUT_ARRAY(name, len) do { \
+ rnn_weight *values = malloc((len) * sizeof(rnn_weight)); \
+ if (!values) { \
+ rnnoise_model_free(ret); \
+ return NULL; \
+ } \
+ name = values; \
+ for (i = 0; i < (len); i++) { \
+ if (fscanf(f, "%d", &in) != 1) { \
+ rnnoise_model_free(ret); \
+ return NULL; \
+ } \
+ values[i] = in; \
+ } \
+ } while (0)
+
+#define INPUT_DENSE(name) do { \
+ INPUT_VAL(name->nb_inputs); \
+ INPUT_VAL(name->nb_neurons); \
+ ret->name ## _size = name->nb_neurons; \
+ INPUT_ACTIVATION(name->activation); \
+ INPUT_ARRAY(name->input_weights, name->nb_inputs * name->nb_neurons); \
+ INPUT_ARRAY(name->bias, name->nb_neurons); \
+ } while (0)
+
+#define INPUT_GRU(name) do { \
+ INPUT_VAL(name->nb_inputs); \
+ INPUT_VAL(name->nb_neurons); \
+ ret->name ## _size = name->nb_neurons; \
+ INPUT_ACTIVATION(name->activation); \
+ INPUT_ARRAY(name->input_weights, name->nb_inputs * name->nb_neurons * 3); \
+ INPUT_ARRAY(name->recurrent_weights, name->nb_neurons * name->nb_neurons * 3); \
+ INPUT_ARRAY(name->bias, name->nb_neurons * 3); \
+ } while (0)
+
+ INPUT_DENSE(input_dense);
+ INPUT_GRU(vad_gru);
+ INPUT_GRU(noise_gru);
+ INPUT_GRU(denoise_gru);
+ INPUT_DENSE(denoise_output);
+ INPUT_DENSE(vad_output);
+
+ return ret;
+}
+
+void rnnoise_model_free(RNNModel *model)
+{
+#define FREE_MAYBE(ptr) do { if (ptr) free(ptr); } while (0)
+#define FREE_DENSE(name) do { \
+ if (model->name) { \
+ free((void *) model->name->input_weights); \
+ free((void *) model->name->bias); \
+ free((void *) model->name); \
+ } \
+ } while (0)
+#define FREE_GRU(name) do { \
+ if (model->name) { \
+ free((void *) model->name->input_weights); \
+ free((void *) model->name->recurrent_weights); \
+ free((void *) model->name->bias); \
+ free((void *) model->name); \
+ } \
+ } while (0)
+
+ if (!model)
+ return;
+ FREE_DENSE(input_dense);
+ FREE_GRU(vad_gru);
+ FREE_GRU(noise_gru);
+ FREE_GRU(denoise_gru);
+ FREE_DENSE(denoise_output);
+ FREE_DENSE(vad_output);
+ free(model);
+}
diff --git a/src/rnn_train.py b/src/rnn_train.py
new file mode 100755
index 0000000..b561963
--- /dev/null
+++ b/src/rnn_train.py
@@ -0,0 +1,66 @@
+#!/usr/bin/python
+
+from __future__ import print_function
+
+from keras.models import Sequential
+from keras.models import Model
+from keras.layers import Input
+from keras.layers import Dense
+from keras.layers import LSTM
+from keras.layers import GRU
+from keras.layers import SimpleRNN
+from keras.layers import Dropout
+from keras import losses
+import h5py
+
+from keras import backend as K
+import numpy as np
+
+print('Build model...')
+main_input = Input(shape=(None, 22), name='main_input')
+#x = Dense(44, activation='relu')(main_input)
+#x = GRU(44, dropout=0.0, recurrent_dropout=0.0, activation='tanh', recurrent_activation='sigmoid', return_sequences=True)(x)
+x=main_input
+x = GRU(128, activation='tanh', recurrent_activation='sigmoid', return_sequences=True)(x)
+#x = GRU(128, return_sequences=True)(x)
+#x = GRU(22, activation='relu', return_sequences=True)(x)
+x = Dense(22, activation='sigmoid')(x)
+#x = Dense(22, activation='softplus')(x)
+model = Model(inputs=main_input, outputs=x)
+
+batch_size = 32
+
+print('Loading data...')
+with h5py.File('denoise_data.h5', 'r') as hf:
+ all_data = hf['denoise_data'][:]
+print('done.')
+
+window_size = 500
+
+nb_sequences = len(all_data)//window_size
+print(nb_sequences, ' sequences')
+x_train = all_data[:nb_sequences*window_size, :-22]
+x_train = np.reshape(x_train, (nb_sequences, window_size, 22))
+
+y_train = np.copy(all_data[:nb_sequences*window_size, -22:])
+y_train = np.reshape(y_train, (nb_sequences, window_size, 22))
+
+#y_train = -20*np.log10(np.add(y_train, .03));
+
+all_data = 0;
+x_train = x_train.astype('float32')
+y_train = y_train.astype('float32')
+
+print(len(x_train), 'train sequences. x shape =', x_train.shape, 'y shape = ', y_train.shape)
+
+# try using different optimizers and different optimizer configs
+model.compile(loss='mean_squared_error',
+ optimizer='adam',
+ metrics=['binary_accuracy'])
+
+print('Train...')
+model.fit(x_train, y_train,
+ batch_size=batch_size,
+ epochs=200,
+ validation_data=(x_train, y_train))
+model.save("newweights.hdf5")
diff --git a/src/tansig_table.h b/src/tansig_table.h
new file mode 100644
index 0000000..c76f844
--- /dev/null
+++ b/src/tansig_table.h
@@ -0,0 +1,45 @@
+/* This file is auto-generated by gen_tables */
+
+static const float tansig_table[201] = {
+0.000000f, 0.039979f, 0.079830f, 0.119427f, 0.158649f,
+0.197375f, 0.235496f, 0.272905f, 0.309507f, 0.345214f,
+0.379949f, 0.413644f, 0.446244f, 0.477700f, 0.507977f,
+0.537050f, 0.564900f, 0.591519f, 0.616909f, 0.641077f,
+0.664037f, 0.685809f, 0.706419f, 0.725897f, 0.744277f,
+0.761594f, 0.777888f, 0.793199f, 0.807569f, 0.821040f,
+0.833655f, 0.845456f, 0.856485f, 0.866784f, 0.876393f,
+0.885352f, 0.893698f, 0.901468f, 0.908698f, 0.915420f,
+0.921669f, 0.927473f, 0.932862f, 0.937863f, 0.942503f,
+0.946806f, 0.950795f, 0.954492f, 0.957917f, 0.961090f,
+0.964028f, 0.966747f, 0.969265f, 0.971594f, 0.973749f,
+0.975743f, 0.977587f, 0.979293f, 0.980869f, 0.982327f,
+0.983675f, 0.984921f, 0.986072f, 0.987136f, 0.988119f,
+0.989027f, 0.989867f, 0.990642f, 0.991359f, 0.992020f,
+0.992631f, 0.993196f, 0.993718f, 0.994199f, 0.994644f,
+0.995055f, 0.995434f, 0.995784f, 0.996108f, 0.996407f,
+0.996682f, 0.996937f, 0.997172f, 0.997389f, 0.997590f,
+0.997775f, 0.997946f, 0.998104f, 0.998249f, 0.998384f,
+0.998508f, 0.998623f, 0.998728f, 0.998826f, 0.998916f,
+0.999000f, 0.999076f, 0.999147f, 0.999213f, 0.999273f,
+0.999329f, 0.999381f, 0.999428f, 0.999472f, 0.999513f,
+0.999550f, 0.999585f, 0.999617f, 0.999646f, 0.999673f,
+0.999699f, 0.999722f, 0.999743f, 0.999763f, 0.999781f,
+0.999798f, 0.999813f, 0.999828f, 0.999841f, 0.999853f,
+0.999865f, 0.999875f, 0.999885f, 0.999893f, 0.999902f,
+0.999909f, 0.999916f, 0.999923f, 0.999929f, 0.999934f,
+0.999939f, 0.999944f, 0.999948f, 0.999952f, 0.999956f,
+0.999959f, 0.999962f, 0.999965f, 0.999968f, 0.999970f,
+0.999973f, 0.999975f, 0.999977f, 0.999978f, 0.999980f,
+0.999982f, 0.999983f, 0.999984f, 0.999986f, 0.999987f,
+0.999988f, 0.999989f, 0.999990f, 0.999990f, 0.999991f,
+0.999992f, 0.999992f, 0.999993f, 0.999994f, 0.999994f,
+0.999994f, 0.999995f, 0.999995f, 0.999996f, 0.999996f,
+0.999996f, 0.999997f, 0.999997f, 0.999997f, 0.999997f,
+0.999997f, 0.999998f, 0.999998f, 0.999998f, 0.999998f,
+0.999998f, 0.999998f, 0.999999f, 0.999999f, 0.999999f,
+0.999999f, 0.999999f, 0.999999f, 0.999999f, 0.999999f,
+0.999999f, 0.999999f, 0.999999f, 0.999999f, 0.999999f,
+1.000000f, 1.000000f, 1.000000f, 1.000000f, 1.000000f,
+1.000000f, 1.000000f, 1.000000f, 1.000000f, 1.000000f,
+1.000000f,
+};
diff --git a/training/bin2hdf5.py b/training/bin2hdf5.py
new file mode 100755
index 0000000..51dcbdf
--- /dev/null
+++ b/training/bin2hdf5.py
@@ -0,0 +1,13 @@
+#!/usr/bin/python
+
+from __future__ import print_function
+
+import numpy as np
+import h5py
+import sys
+
+data = np.fromfile(sys.argv[1], dtype='float32');
+data = np.reshape(data, (int(sys.argv[2]), int(sys.argv[3])));
+h5f = h5py.File(sys.argv[4], 'w');
+h5f.create_dataset('data', data=data)
+h5f.close()
diff --git a/training/dump_rnn.py b/training/dump_rnn.py
new file mode 100755
index 0000000..2f04359
--- /dev/null
+++ b/training/dump_rnn.py
@@ -0,0 +1,107 @@
+#!/usr/bin/python
+
+from __future__ import print_function
+
+from keras.models import Sequential
+from keras.layers import Dense
+from keras.layers import LSTM
+from keras.layers import GRU
+from keras.models import load_model
+from keras import backend as K
+import sys
+import re
+import numpy as np
+
+def printVector(f, ft, vector, name):
+ v = np.reshape(vector, (-1));
+ #print('static const float ', name, '[', len(v), '] = \n', file=f)
+ f.write('static const rnn_weight {}[{}] = {{\n '.format(name, len(v)))
+ for i in range(0, len(v)):
+ f.write('{}'.format(min(127, int(round(256*v[i])))))
+ ft.write('{}'.format(min(127, int(round(256*v[i])))))
+ if (i!=len(v)-1):
+ f.write(',')
+ else:
+ break;
+ ft.write(" ")
+ if (i%8==7):
+ f.write("\n ")
+ else:
+ f.write(" ")
+ #print(v, file=f)
+ f.write('\n};\n\n')
+ ft.write("\n")
+ return;
+
+def printLayer(f, ft, layer):
+ weights = layer.get_weights()
+ activation = re.search('function (.*) at', str(layer.activation)).group(1).upper()
+ if len(weights) > 2:
+ ft.write('{} {} '.format(weights[0].shape[0], weights[0].shape[1]/3))
+ else:
+ ft.write('{} {} '.format(weights[0].shape[0], weights[0].shape[1]))
+ if activation == 'SIGMOID':
+ ft.write('1\n')
+ elif activation == 'RELU':
+ ft.write('2\n')
+ else:
+ ft.write('0\n')
+ printVector(f, ft, weights[0], layer.name + '_weights')
+ if len(weights) > 2:
+ printVector(f, ft, weights[1], layer.name + '_recurrent_weights')
+ printVector(f, ft, weights[-1], layer.name + '_bias')
+ name = layer.name
+ if len(weights) > 2:
+ f.write('static const GRULayer {} = {{\n {}_bias,\n {}_weights,\n {}_recurrent_weights,\n {}, {}, ACTIVATION_{}\n}};\n\n'
+ .format(name, name, name, name, weights[0].shape[0], weights[0].shape[1]/3, activation))
+ else:
+ f.write('static const DenseLayer {} = {{\n {}_bias,\n {}_weights,\n {}, {}, ACTIVATION_{}\n}};\n\n'
+ .format(name, name, name, weights[0].shape[0], weights[0].shape[1], activation))
+
+def structLayer(f, layer):
+ weights = layer.get_weights()
+ name = layer.name
+ if len(weights) > 2:
+ f.write(' {},\n'.format(weights[0].shape[1]/3))
+ else:
+ f.write(' {},\n'.format(weights[0].shape[1]))
+ f.write(' &{},\n'.format(name))
+
+
+def foo(c, name):
+ return None
+
+def mean_squared_sqrt_error(y_true, y_pred):
+ return K.mean(K.square(K.sqrt(y_pred) - K.sqrt(y_true)), axis=-1)
+
+
+model = load_model(sys.argv[1], custom_objects={'msse': mean_squared_sqrt_error, 'mean_squared_sqrt_error': mean_squared_sqrt_error, 'my_crossentropy': mean_squared_sqrt_error, 'mycost': mean_squared_sqrt_error, 'WeightClip': foo})
+
+weights = model.get_weights()
+
+f = open(sys.argv[2], 'w')
+ft = open(sys.argv[3], 'w')
+
+f.write('/*This file is automatically generated from a Keras model*/\n\n')
+f.write('#ifdef HAVE_CONFIG_H\n#include "config.h"\n#endif\n\n#include "rnn.h"\n#include "rnn_data.h"\n\n')
+ft.write('rnnoise-nu model file version 1\n')
+
+layer_list = []
+for i, layer in enumerate(model.layers):
+ if len(layer.get_weights()) > 0:
+ printLayer(f, ft, layer)
+ if len(layer.get_weights()) > 2:
+ layer_list.append(layer.name)
+
+f.write('const struct RNNModel rnnoise_model_{} = {{\n'.format(sys.argv[4]))
+for i, layer in enumerate(model.layers):
+ if len(layer.get_weights()) > 0:
+ structLayer(f, layer)
+f.write('};\n')
+
+#hf.write('struct RNNState {\n')
+#for i, name in enumerate(layer_list):
+# hf.write(' float {}_state[{}_SIZE];\n'.format(name, name.upper()))
+#hf.write('};\n')
+
+f.close()
diff --git a/training/rnn_train.py b/training/rnn_train.py
new file mode 100755
index 0000000..06d7e1a
--- /dev/null
+++ b/training/rnn_train.py
@@ -0,0 +1,116 @@
+#!/usr/bin/python
+
+from __future__ import print_function
+
+import keras
+from keras.models import Sequential
+from keras.models import Model
+from keras.layers import Input
+from keras.layers import Dense
+from keras.layers import LSTM
+from keras.layers import GRU
+from keras.layers import SimpleRNN
+from keras.layers import Dropout
+from keras.layers import concatenate
+from keras import losses
+from keras import regularizers
+from keras.constraints import min_max_norm
+import h5py
+
+from keras.constraints import Constraint
+from keras import backend as K
+import numpy as np
+
+#import tensorflow as tf
+#from keras.backend.tensorflow_backend import set_session
+#config = tf.ConfigProto()
+#config.gpu_options.per_process_gpu_memory_fraction = 0.42
+#set_session(tf.Session(config=config))
+
+
+def my_crossentropy(y_true, y_pred):
+ return K.mean(2*K.abs(y_true-0.5) * K.binary_crossentropy(y_pred, y_true), axis=-1)
+
+def mymask(y_true):
+ return K.minimum(y_true+1., 1.)
+
+def msse(y_true, y_pred):
+ return K.mean(mymask(y_true) * K.square(K.sqrt(y_pred) - K.sqrt(y_true)), axis=-1)
+
+def mycost(y_true, y_pred):
+ return K.mean(mymask(y_true) * (10*K.square(K.square(K.sqrt(y_pred) - K.sqrt(y_true))) + K.square(K.sqrt(y_pred) - K.sqrt(y_true)) + 0.01*K.binary_crossentropy(y_pred, y_true)), axis=-1)
+
+def my_accuracy(y_true, y_pred):
+ return K.mean(2*K.abs(y_true-0.5) * K.equal(y_true, K.round(y_pred)), axis=-1)
+
+class WeightClip(Constraint):
+ '''Clips the weights incident to each hidden unit to be inside a range
+ '''
+ def __init__(self, c=2):
+ self.c = c
+
+ def __call__(self, p):
+ return K.clip(p, -self.c, self.c)
+
+ def get_config(self):
+ return {'name': self.__class__.__name__,
+ 'c': self.c}
+
+reg = 0.000001
+constraint = WeightClip(0.499)
+
+print('Build model...')
+main_input = Input(shape=(None, 42), name='main_input')
+tmp = Dense(24, activation='tanh', name='input_dense', kernel_constraint=constraint, bias_constraint=constraint)(main_input)
+vad_gru = GRU(24, activation='tanh', recurrent_activation='sigmoid', return_sequences=True, name='vad_gru', kernel_regularizer=regularizers.l2(reg), recurrent_regularizer=regularizers.l2(reg), kernel_constraint=constraint, recurrent_constraint=constraint, bias_constraint=constraint)(tmp)
+vad_output = Dense(1, activation='sigmoid', name='vad_output', kernel_constraint=constraint, bias_constraint=constraint)(vad_gru)
+noise_input = keras.layers.concatenate([tmp, vad_gru, main_input])
+noise_gru = GRU(48, activation='relu', recurrent_activation='sigmoid', return_sequences=True, name='noise_gru', kernel_regularizer=regularizers.l2(reg), recurrent_regularizer=regularizers.l2(reg), kernel_constraint=constraint, recurrent_constraint=constraint, bias_constraint=constraint)(noise_input)
+denoise_input = keras.layers.concatenate([vad_gru, noise_gru, main_input])
+
+denoise_gru = GRU(96, activation='tanh', recurrent_activation='sigmoid', return_sequences=True, name='denoise_gru', kernel_regularizer=regularizers.l2(reg), recurrent_regularizer=regularizers.l2(reg), kernel_constraint=constraint, recurrent_constraint=constraint, bias_constraint=constraint)(denoise_input)
+
+denoise_output = Dense(22, activation='sigmoid', name='denoise_output', kernel_constraint=constraint, bias_constraint=constraint)(denoise_gru)
+
+model = Model(inputs=main_input, outputs=[denoise_output, vad_output])
+
+model.compile(loss=[mycost, my_crossentropy],
+ metrics=[msse],
+ optimizer='adam', loss_weights=[10, 0.5])
+
+
+batch_size = 32
+
+print('Loading data...')
+with h5py.File('training.h5', 'r') as hf:
+ all_data = hf['data'][:]
+print('done.')
+
+window_size = 2000
+
+nb_sequences = len(all_data)//window_size
+print(nb_sequences, ' sequences')
+x_train = all_data[:nb_sequences*window_size, :42]
+x_train = np.reshape(x_train, (nb_sequences, window_size, 42))
+
+y_train = np.copy(all_data[:nb_sequences*window_size, 42:64])
+y_train = np.reshape(y_train, (nb_sequences, window_size, 22))
+
+noise_train = np.copy(all_data[:nb_sequences*window_size, 64:86])
+noise_train = np.reshape(noise_train, (nb_sequences, window_size, 22))
+
+vad_train = np.copy(all_data[:nb_sequences*window_size, 86:87])
+vad_train = np.reshape(vad_train, (nb_sequences, window_size, 1))
+
+all_data = 0;
+#x_train = x_train.astype('float32')
+#y_train = y_train.astype('float32')
+
+print(len(x_train), 'train sequences. x shape =', x_train.shape, 'y shape = ', y_train.shape)
+
+print('Train...')
+model.fit(x_train, [y_train, vad_train],
+ batch_size=batch_size,
+ epochs=120,
+ validation_split=0.1)
+model.save("weights.hdf5")
diff --git a/update_version b/update_version
new file mode 100755
index 0000000..a999991
--- /dev/null
+++ b/update_version
@@ -0,0 +1,65 @@
+#!/bin/bash
+
+# Creates and updates the package_version information used by configure.ac
+# (or other makefiles). When run inside a git repository it will use the
+# version information that can be queried from it unless AUTO_UPDATE is set
+# to 'no'. If no version is currently known it will be set to 'unknown'.
+#
+# If called with the argument 'release', the PACKAGE_VERSION will be updated
+# even if AUTO_UPDATE=no, but the value of AUTO_UPDATE shall be preserved.
+# This is used to force a version update whenever `make dist` is run.
+#
+# The exit status is 1 if package_version is not modified, else 0 is returned.
+#
+# This script should NOT be included in distributed tarballs, because if a
+# parent directory contains a git repository we do not want to accidentally
+# retrieve the version information from it instead. Tarballs should ship
+# with only the package_version file.
+#
+# Ron <ron@debian.org>, 2012.
+
+SRCDIR=$(dirname $0)
+
+if [ -e "$SRCDIR/package_version" ]; then
+ . "$SRCDIR/package_version"
+fi
+
+if [ "$AUTO_UPDATE" = no ]; then
+ [ "$1" = release ] || exit 1
+else
+ AUTO_UPDATE=yes
+fi
+
+# We run `git status` before describe here to ensure that we don't get a false
+# -dirty from files that have been touched but are not actually altered in the
+# working dir.
+GIT_VERSION=$(cd "$SRCDIR" && git status > /dev/null 2>&1 \
+ && git describe --tags --match 'v*' --dirty 2> /dev/null)
+GIT_VERSION=${GIT_VERSION#v}
+
+if [ -n "$GIT_VERSION" ]; then
+
+ [ "$GIT_VERSION" != "$PACKAGE_VERSION" ] || exit 1
+ PACKAGE_VERSION="$GIT_VERSION"
+
+elif [ -z "$PACKAGE_VERSION" ]; then
+ # No current package_version and no git ...
+ # We really shouldn't ever get here, because this script should only be
+ # included in the git repository, and should usually be export-ignored.
+ PACKAGE_VERSION="unknown"
+else
+ exit 1
+fi
+
+cat > "$SRCDIR/package_version" <<-EOF
+ # Automatically generated by update_version.
+ # This file may be sourced into a shell script or makefile.
+
+ # Set this to 'no' if you do not wish the version information
+ # to be checked and updated for every build. Most people will
+ # never want to change this, it is an option for developers
+ # making frequent changes that they know will not be released.
+ AUTO_UPDATE=$AUTO_UPDATE
+
+ PACKAGE_VERSION="$PACKAGE_VERSION"
+EOF