diff options
Diffstat (limited to 'webrtc/modules/audio_processing/ns/nsx_core.c')
| -rw-r--r-- | webrtc/modules/audio_processing/ns/nsx_core.c | 2112 |
1 files changed, 2112 insertions, 0 deletions
diff --git a/webrtc/modules/audio_processing/ns/nsx_core.c b/webrtc/modules/audio_processing/ns/nsx_core.c new file mode 100644 index 0000000000..71445792f5 --- /dev/null +++ b/webrtc/modules/audio_processing/ns/nsx_core.c @@ -0,0 +1,2112 @@ +/* + * Copyright (c) 2012 The WebRTC project authors. All Rights Reserved. + * + * Use of this source code is governed by a BSD-style license + * that can be found in the LICENSE file in the root of the source + * tree. An additional intellectual property rights grant can be found + * in the file PATENTS. All contributing project authors may + * be found in the AUTHORS file in the root of the source tree. + */ + +#include "webrtc/modules/audio_processing/ns/include/noise_suppression_x.h" + +#include <assert.h> +#include <math.h> +#include <stdlib.h> +#include <string.h> + +#include "webrtc/common_audio/signal_processing/include/real_fft.h" +#include "webrtc/modules/audio_processing/ns/nsx_core.h" +#include "webrtc/system_wrappers/include/cpu_features_wrapper.h" + +#if (defined WEBRTC_DETECT_NEON || defined WEBRTC_HAS_NEON) +/* Tables are defined in ARM assembly files. */ +extern const int16_t WebRtcNsx_kLogTable[9]; +extern const int16_t WebRtcNsx_kCounterDiv[201]; +extern const int16_t WebRtcNsx_kLogTableFrac[256]; +#else +static const int16_t WebRtcNsx_kLogTable[9] = { + 0, 177, 355, 532, 710, 887, 1065, 1242, 1420 +}; + +static const int16_t WebRtcNsx_kCounterDiv[201] = { + 32767, 16384, 10923, 8192, 6554, 5461, 4681, 4096, 3641, 3277, 2979, 2731, + 2521, 2341, 2185, 2048, 1928, 1820, 1725, 1638, 1560, 1489, 1425, 1365, 1311, + 1260, 1214, 1170, 1130, 1092, 1057, 1024, 993, 964, 936, 910, 886, 862, 840, + 819, 799, 780, 762, 745, 728, 712, 697, 683, 669, 655, 643, 630, 618, 607, + 596, 585, 575, 565, 555, 546, 537, 529, 520, 512, 504, 496, 489, 482, 475, + 468, 462, 455, 449, 443, 437, 431, 426, 420, 415, 410, 405, 400, 395, 390, + 386, 381, 377, 372, 368, 364, 360, 356, 352, 349, 345, 341, 338, 334, 331, + 328, 324, 321, 318, 315, 312, 309, 306, 303, 301, 298, 295, 293, 290, 287, + 285, 282, 280, 278, 275, 273, 271, 269, 266, 264, 262, 260, 258, 256, 254, + 252, 250, 248, 246, 245, 243, 241, 239, 237, 236, 234, 232, 231, 229, 228, + 226, 224, 223, 221, 220, 218, 217, 216, 214, 213, 211, 210, 209, 207, 206, + 205, 204, 202, 201, 200, 199, 197, 196, 195, 194, 193, 192, 191, 189, 188, + 187, 186, 185, 184, 183, 182, 181, 180, 179, 178, 177, 176, 175, 174, 173, + 172, 172, 171, 170, 169, 168, 167, 166, 165, 165, 164, 163 +}; + +static const int16_t WebRtcNsx_kLogTableFrac[256] = { + 0, 1, 3, 4, 6, 7, 9, 10, 11, 13, 14, 16, 17, 18, 20, 21, + 22, 24, 25, 26, 28, 29, 30, 32, 33, 34, 36, 37, 38, 40, 41, 42, + 44, 45, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 59, 60, 61, 62, + 63, 65, 66, 67, 68, 69, 71, 72, 73, 74, 75, 77, 78, 79, 80, 81, + 82, 84, 85, 86, 87, 88, 89, 90, 92, 93, 94, 95, 96, 97, 98, 99, + 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 116, + 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, + 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, + 147, 148, 149, 150, 151, 152, 153, 154, 155, 155, 156, 157, 158, 159, 160, + 161, 162, 163, 164, 165, 166, 167, 168, 169, 169, 170, 171, 172, 173, 174, + 175, 176, 177, 178, 178, 179, 180, 181, 182, 183, 184, 185, 185, 186, 187, + 188, 189, 190, 191, 192, 192, 193, 194, 195, 196, 197, 198, 198, 199, 200, + 201, 202, 203, 203, 204, 205, 206, 207, 208, 208, 209, 210, 211, 212, 212, + 213, 214, 215, 216, 216, 217, 218, 219, 220, 220, 221, 222, 223, 224, 224, + 225, 226, 227, 228, 228, 229, 230, 231, 231, 232, 233, 234, 234, 235, 236, + 237, 238, 238, 239, 240, 241, 241, 242, 243, 244, 244, 245, 246, 247, 247, + 248, 249, 249, 250, 251, 252, 252, 253, 254, 255, 255 +}; +#endif // WEBRTC_DETECT_NEON || WEBRTC_HAS_NEON + +// Skip first frequency bins during estimation. (0 <= value < 64) +static const size_t kStartBand = 5; + +// hybrib Hanning & flat window +static const int16_t kBlocks80w128x[128] = { + 0, 536, 1072, 1606, 2139, 2669, 3196, 3720, 4240, 4756, 5266, + 5771, 6270, 6762, 7246, 7723, 8192, 8652, 9102, 9543, 9974, 10394, + 10803, 11200, 11585, 11958, 12318, 12665, 12998, 13318, 13623, 13913, 14189, + 14449, 14694, 14924, 15137, 15334, 15515, 15679, 15826, 15956, 16069, 16165, + 16244, 16305, 16349, 16375, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16375, 16349, 16305, 16244, 16165, 16069, 15956, + 15826, 15679, 15515, 15334, 15137, 14924, 14694, 14449, 14189, 13913, 13623, + 13318, 12998, 12665, 12318, 11958, 11585, 11200, 10803, 10394, 9974, 9543, + 9102, 8652, 8192, 7723, 7246, 6762, 6270, 5771, 5266, 4756, 4240, + 3720, 3196, 2669, 2139, 1606, 1072, 536 +}; + +// hybrib Hanning & flat window +static const int16_t kBlocks160w256x[256] = { + 0, 268, 536, 804, 1072, 1339, 1606, 1872, + 2139, 2404, 2669, 2933, 3196, 3459, 3720, 3981, + 4240, 4499, 4756, 5012, 5266, 5520, 5771, 6021, + 6270, 6517, 6762, 7005, 7246, 7486, 7723, 7959, + 8192, 8423, 8652, 8878, 9102, 9324, 9543, 9760, + 9974, 10185, 10394, 10600, 10803, 11003, 11200, 11394, + 11585, 11773, 11958, 12140, 12318, 12493, 12665, 12833, + 12998, 13160, 13318, 13472, 13623, 13770, 13913, 14053, + 14189, 14321, 14449, 14574, 14694, 14811, 14924, 15032, + 15137, 15237, 15334, 15426, 15515, 15599, 15679, 15754, + 15826, 15893, 15956, 16015, 16069, 16119, 16165, 16207, + 16244, 16277, 16305, 16329, 16349, 16364, 16375, 16382, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16384, 16384, 16384, 16384, 16384, 16384, 16384, + 16384, 16382, 16375, 16364, 16349, 16329, 16305, 16277, + 16244, 16207, 16165, 16119, 16069, 16015, 15956, 15893, + 15826, 15754, 15679, 15599, 15515, 15426, 15334, 15237, + 15137, 15032, 14924, 14811, 14694, 14574, 14449, 14321, + 14189, 14053, 13913, 13770, 13623, 13472, 13318, 13160, + 12998, 12833, 12665, 12493, 12318, 12140, 11958, 11773, + 11585, 11394, 11200, 11003, 10803, 10600, 10394, 10185, + 9974, 9760, 9543, 9324, 9102, 8878, 8652, 8423, + 8192, 7959, 7723, 7486, 7246, 7005, 6762, 6517, + 6270, 6021, 5771, 5520, 5266, 5012, 4756, 4499, + 4240, 3981, 3720, 3459, 3196, 2933, 2669, 2404, + 2139, 1872, 1606, 1339, 1072, 804, 536, 268 +}; + +// Gain factor1 table: Input value in Q8 and output value in Q13 +// original floating point code +// if (gain > blim) { +// factor1 = 1.0 + 1.3 * (gain - blim); +// if (gain * factor1 > 1.0) { +// factor1 = 1.0 / gain; +// } +// } else { +// factor1 = 1.0; +// } +static const int16_t kFactor1Table[257] = { + 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8233, 8274, 8315, 8355, 8396, 8436, 8475, 8515, 8554, 8592, 8631, 8669, + 8707, 8745, 8783, 8820, 8857, 8894, 8931, 8967, 9003, 9039, 9075, 9111, 9146, 9181, + 9216, 9251, 9286, 9320, 9354, 9388, 9422, 9456, 9489, 9523, 9556, 9589, 9622, 9655, + 9687, 9719, 9752, 9784, 9816, 9848, 9879, 9911, 9942, 9973, 10004, 10035, 10066, + 10097, 10128, 10158, 10188, 10218, 10249, 10279, 10308, 10338, 10368, 10397, 10426, + 10456, 10485, 10514, 10543, 10572, 10600, 10629, 10657, 10686, 10714, 10742, 10770, + 10798, 10826, 10854, 10882, 10847, 10810, 10774, 10737, 10701, 10666, 10631, 10596, + 10562, 10527, 10494, 10460, 10427, 10394, 10362, 10329, 10297, 10266, 10235, 10203, + 10173, 10142, 10112, 10082, 10052, 10023, 9994, 9965, 9936, 9908, 9879, 9851, 9824, + 9796, 9769, 9742, 9715, 9689, 9662, 9636, 9610, 9584, 9559, 9534, 9508, 9484, 9459, + 9434, 9410, 9386, 9362, 9338, 9314, 9291, 9268, 9245, 9222, 9199, 9176, 9154, 9132, + 9110, 9088, 9066, 9044, 9023, 9002, 8980, 8959, 8939, 8918, 8897, 8877, 8857, 8836, + 8816, 8796, 8777, 8757, 8738, 8718, 8699, 8680, 8661, 8642, 8623, 8605, 8586, 8568, + 8550, 8532, 8514, 8496, 8478, 8460, 8443, 8425, 8408, 8391, 8373, 8356, 8339, 8323, + 8306, 8289, 8273, 8256, 8240, 8224, 8208, 8192 +}; + +// For Factor2 tables +// original floating point code +// if (gain > blim) { +// factor2 = 1.0; +// } else { +// factor2 = 1.0 - 0.3 * (blim - gain); +// if (gain <= inst->denoiseBound) { +// factor2 = 1.0 - 0.3 * (blim - inst->denoiseBound); +// } +// } +// +// Gain factor table: Input value in Q8 and output value in Q13 +static const int16_t kFactor2Aggressiveness1[257] = { + 7577, 7577, 7577, 7577, 7577, 7577, + 7577, 7577, 7577, 7577, 7577, 7577, 7577, 7577, 7577, 7577, 7577, 7596, 7614, 7632, + 7650, 7667, 7683, 7699, 7715, 7731, 7746, 7761, 7775, 7790, 7804, 7818, 7832, 7845, + 7858, 7871, 7884, 7897, 7910, 7922, 7934, 7946, 7958, 7970, 7982, 7993, 8004, 8016, + 8027, 8038, 8049, 8060, 8070, 8081, 8091, 8102, 8112, 8122, 8132, 8143, 8152, 8162, + 8172, 8182, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192 +}; + +// Gain factor table: Input value in Q8 and output value in Q13 +static const int16_t kFactor2Aggressiveness2[257] = { + 7270, 7270, 7270, 7270, 7270, 7306, + 7339, 7369, 7397, 7424, 7448, 7472, 7495, 7517, 7537, 7558, 7577, 7596, 7614, 7632, + 7650, 7667, 7683, 7699, 7715, 7731, 7746, 7761, 7775, 7790, 7804, 7818, 7832, 7845, + 7858, 7871, 7884, 7897, 7910, 7922, 7934, 7946, 7958, 7970, 7982, 7993, 8004, 8016, + 8027, 8038, 8049, 8060, 8070, 8081, 8091, 8102, 8112, 8122, 8132, 8143, 8152, 8162, + 8172, 8182, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192 +}; + +// Gain factor table: Input value in Q8 and output value in Q13 +static const int16_t kFactor2Aggressiveness3[257] = { + 7184, 7184, 7184, 7229, 7270, 7306, + 7339, 7369, 7397, 7424, 7448, 7472, 7495, 7517, 7537, 7558, 7577, 7596, 7614, 7632, + 7650, 7667, 7683, 7699, 7715, 7731, 7746, 7761, 7775, 7790, 7804, 7818, 7832, 7845, + 7858, 7871, 7884, 7897, 7910, 7922, 7934, 7946, 7958, 7970, 7982, 7993, 8004, 8016, + 8027, 8038, 8049, 8060, 8070, 8081, 8091, 8102, 8112, 8122, 8132, 8143, 8152, 8162, + 8172, 8182, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, + 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192, 8192 +}; + +// sum of log2(i) from table index to inst->anaLen2 in Q5 +// Note that the first table value is invalid, since log2(0) = -infinity +static const int16_t kSumLogIndex[66] = { + 0, 22917, 22917, 22885, 22834, 22770, 22696, 22613, + 22524, 22428, 22326, 22220, 22109, 21994, 21876, 21754, + 21629, 21501, 21370, 21237, 21101, 20963, 20822, 20679, + 20535, 20388, 20239, 20089, 19937, 19783, 19628, 19470, + 19312, 19152, 18991, 18828, 18664, 18498, 18331, 18164, + 17994, 17824, 17653, 17480, 17306, 17132, 16956, 16779, + 16602, 16423, 16243, 16063, 15881, 15699, 15515, 15331, + 15146, 14960, 14774, 14586, 14398, 14209, 14019, 13829, + 13637, 13445 +}; + +// sum of log2(i)^2 from table index to inst->anaLen2 in Q2 +// Note that the first table value is invalid, since log2(0) = -infinity +static const int16_t kSumSquareLogIndex[66] = { + 0, 16959, 16959, 16955, 16945, 16929, 16908, 16881, + 16850, 16814, 16773, 16729, 16681, 16630, 16575, 16517, + 16456, 16392, 16325, 16256, 16184, 16109, 16032, 15952, + 15870, 15786, 15700, 15612, 15521, 15429, 15334, 15238, + 15140, 15040, 14938, 14834, 14729, 14622, 14514, 14404, + 14292, 14179, 14064, 13947, 13830, 13710, 13590, 13468, + 13344, 13220, 13094, 12966, 12837, 12707, 12576, 12444, + 12310, 12175, 12039, 11902, 11763, 11624, 11483, 11341, + 11198, 11054 +}; + +// log2(table index) in Q12 +// Note that the first table value is invalid, since log2(0) = -infinity +static const int16_t kLogIndex[129] = { + 0, 0, 4096, 6492, 8192, 9511, 10588, 11499, + 12288, 12984, 13607, 14170, 14684, 15157, 15595, 16003, + 16384, 16742, 17080, 17400, 17703, 17991, 18266, 18529, + 18780, 19021, 19253, 19476, 19691, 19898, 20099, 20292, + 20480, 20662, 20838, 21010, 21176, 21338, 21496, 21649, + 21799, 21945, 22087, 22226, 22362, 22495, 22625, 22752, + 22876, 22998, 23117, 23234, 23349, 23462, 23572, 23680, + 23787, 23892, 23994, 24095, 24195, 24292, 24388, 24483, + 24576, 24668, 24758, 24847, 24934, 25021, 25106, 25189, + 25272, 25354, 25434, 25513, 25592, 25669, 25745, 25820, + 25895, 25968, 26041, 26112, 26183, 26253, 26322, 26390, + 26458, 26525, 26591, 26656, 26721, 26784, 26848, 26910, + 26972, 27033, 27094, 27154, 27213, 27272, 27330, 27388, + 27445, 27502, 27558, 27613, 27668, 27722, 27776, 27830, + 27883, 27935, 27988, 28039, 28090, 28141, 28191, 28241, + 28291, 28340, 28388, 28437, 28484, 28532, 28579, 28626, + 28672 +}; + +// determinant of estimation matrix in Q0 corresponding to the log2 tables above +// Note that the first table value is invalid, since log2(0) = -infinity +static const int16_t kDeterminantEstMatrix[66] = { + 0, 29814, 25574, 22640, 20351, 18469, 16873, 15491, + 14277, 13199, 12233, 11362, 10571, 9851, 9192, 8587, + 8030, 7515, 7038, 6596, 6186, 5804, 5448, 5115, + 4805, 4514, 4242, 3988, 3749, 3524, 3314, 3116, + 2930, 2755, 2590, 2435, 2289, 2152, 2022, 1900, + 1785, 1677, 1575, 1478, 1388, 1302, 1221, 1145, + 1073, 1005, 942, 881, 825, 771, 721, 674, + 629, 587, 547, 510, 475, 442, 411, 382, + 355, 330 +}; + +// Update the noise estimation information. +static void UpdateNoiseEstimate(NoiseSuppressionFixedC* inst, int offset) { + int32_t tmp32no1 = 0; + int32_t tmp32no2 = 0; + int16_t tmp16 = 0; + const int16_t kExp2Const = 11819; // Q13 + + size_t i = 0; + + tmp16 = WebRtcSpl_MaxValueW16(inst->noiseEstLogQuantile + offset, + inst->magnLen); + // Guarantee a Q-domain as high as possible and still fit in int16 + inst->qNoise = 14 - (int) WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( + kExp2Const, tmp16, 21); + for (i = 0; i < inst->magnLen; i++) { + // inst->quantile[i]=exp(inst->lquantile[offset+i]); + // in Q21 + tmp32no2 = kExp2Const * inst->noiseEstLogQuantile[offset + i]; + tmp32no1 = (0x00200000 | (tmp32no2 & 0x001FFFFF)); // 2^21 + frac + tmp16 = (int16_t)(tmp32no2 >> 21); + tmp16 -= 21;// shift 21 to get result in Q0 + tmp16 += (int16_t) inst->qNoise; //shift to get result in Q(qNoise) + if (tmp16 < 0) { + tmp32no1 >>= -tmp16; + } else { + tmp32no1 <<= tmp16; + } + inst->noiseEstQuantile[i] = WebRtcSpl_SatW32ToW16(tmp32no1); + } +} + +// Noise Estimation +static void NoiseEstimationC(NoiseSuppressionFixedC* inst, + uint16_t* magn, + uint32_t* noise, + int16_t* q_noise) { + int16_t lmagn[HALF_ANAL_BLOCKL], counter, countDiv; + int16_t countProd, delta, zeros, frac; + int16_t log2, tabind, logval, tmp16, tmp16no1, tmp16no2; + const int16_t log2_const = 22713; // Q15 + const int16_t width_factor = 21845; + + size_t i, s, offset; + + tabind = inst->stages - inst->normData; + assert(tabind < 9); + assert(tabind > -9); + if (tabind < 0) { + logval = -WebRtcNsx_kLogTable[-tabind]; + } else { + logval = WebRtcNsx_kLogTable[tabind]; + } + + // lmagn(i)=log(magn(i))=log(2)*log2(magn(i)) + // magn is in Q(-stages), and the real lmagn values are: + // real_lmagn(i)=log(magn(i)*2^stages)=log(magn(i))+log(2^stages) + // lmagn in Q8 + for (i = 0; i < inst->magnLen; i++) { + if (magn[i]) { + zeros = WebRtcSpl_NormU32((uint32_t)magn[i]); + frac = (int16_t)((((uint32_t)magn[i] << zeros) + & 0x7FFFFFFF) >> 23); + // log2(magn(i)) + assert(frac < 256); + log2 = (int16_t)(((31 - zeros) << 8) + + WebRtcNsx_kLogTableFrac[frac]); + // log2(magn(i))*log(2) + lmagn[i] = (int16_t)((log2 * log2_const) >> 15); + // + log(2^stages) + lmagn[i] += logval; + } else { + lmagn[i] = logval;//0; + } + } + + // loop over simultaneous estimates + for (s = 0; s < SIMULT; s++) { + offset = s * inst->magnLen; + + // Get counter values from state + counter = inst->noiseEstCounter[s]; + assert(counter < 201); + countDiv = WebRtcNsx_kCounterDiv[counter]; + countProd = (int16_t)(counter * countDiv); + + // quant_est(...) + for (i = 0; i < inst->magnLen; i++) { + // compute delta + if (inst->noiseEstDensity[offset + i] > 512) { + // Get the value for delta by shifting intead of dividing. + int factor = WebRtcSpl_NormW16(inst->noiseEstDensity[offset + i]); + delta = (int16_t)(FACTOR_Q16 >> (14 - factor)); + } else { + delta = FACTOR_Q7; + if (inst->blockIndex < END_STARTUP_LONG) { + // Smaller step size during startup. This prevents from using + // unrealistic values causing overflow. + delta = FACTOR_Q7_STARTUP; + } + } + + // update log quantile estimate + tmp16 = (int16_t)((delta * countDiv) >> 14); + if (lmagn[i] > inst->noiseEstLogQuantile[offset + i]) { + // +=QUANTILE*delta/(inst->counter[s]+1) QUANTILE=0.25, =1 in Q2 + // CounterDiv=1/(inst->counter[s]+1) in Q15 + tmp16 += 2; + inst->noiseEstLogQuantile[offset + i] += tmp16 / 4; + } else { + tmp16 += 1; + // *(1-QUANTILE), in Q2 QUANTILE=0.25, 1-0.25=0.75=3 in Q2 + // TODO(bjornv): investigate why we need to truncate twice. + tmp16no2 = (int16_t)((tmp16 / 2) * 3 / 2); + inst->noiseEstLogQuantile[offset + i] -= tmp16no2; + if (inst->noiseEstLogQuantile[offset + i] < logval) { + // This is the smallest fixed point representation we can + // have, hence we limit the output. + inst->noiseEstLogQuantile[offset + i] = logval; + } + } + + // update density estimate + if (WEBRTC_SPL_ABS_W16(lmagn[i] - inst->noiseEstLogQuantile[offset + i]) + < WIDTH_Q8) { + tmp16no1 = (int16_t)WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( + inst->noiseEstDensity[offset + i], countProd, 15); + tmp16no2 = (int16_t)WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( + width_factor, countDiv, 15); + inst->noiseEstDensity[offset + i] = tmp16no1 + tmp16no2; + } + } // end loop over magnitude spectrum + + if (counter >= END_STARTUP_LONG) { + inst->noiseEstCounter[s] = 0; + if (inst->blockIndex >= END_STARTUP_LONG) { + UpdateNoiseEstimate(inst, offset); + } + } + inst->noiseEstCounter[s]++; + + } // end loop over simultaneous estimates + + // Sequentially update the noise during startup + if (inst->blockIndex < END_STARTUP_LONG) { + UpdateNoiseEstimate(inst, offset); + } + + for (i = 0; i < inst->magnLen; i++) { + noise[i] = (uint32_t)(inst->noiseEstQuantile[i]); // Q(qNoise) + } + (*q_noise) = (int16_t)inst->qNoise; +} + +// Filter the data in the frequency domain, and create spectrum. +static void PrepareSpectrumC(NoiseSuppressionFixedC* inst, int16_t* freq_buf) { + size_t i = 0, j = 0; + + for (i = 0; i < inst->magnLen; i++) { + inst->real[i] = (int16_t)((inst->real[i] * + (int16_t)(inst->noiseSupFilter[i])) >> 14); // Q(normData-stages) + inst->imag[i] = (int16_t)((inst->imag[i] * + (int16_t)(inst->noiseSupFilter[i])) >> 14); // Q(normData-stages) + } + + freq_buf[0] = inst->real[0]; + freq_buf[1] = -inst->imag[0]; + for (i = 1, j = 2; i < inst->anaLen2; i += 1, j += 2) { + freq_buf[j] = inst->real[i]; + freq_buf[j + 1] = -inst->imag[i]; + } + freq_buf[inst->anaLen] = inst->real[inst->anaLen2]; + freq_buf[inst->anaLen + 1] = -inst->imag[inst->anaLen2]; +} + +// Denormalize the real-valued signal |in|, the output from inverse FFT. +static void DenormalizeC(NoiseSuppressionFixedC* inst, + int16_t* in, + int factor) { + size_t i = 0; + int32_t tmp32 = 0; + for (i = 0; i < inst->anaLen; i += 1) { + tmp32 = WEBRTC_SPL_SHIFT_W32((int32_t)in[i], + factor - inst->normData); + inst->real[i] = WebRtcSpl_SatW32ToW16(tmp32); // Q0 + } +} + +// For the noise supression process, synthesis, read out fully processed +// segment, and update synthesis buffer. +static void SynthesisUpdateC(NoiseSuppressionFixedC* inst, + int16_t* out_frame, + int16_t gain_factor) { + size_t i = 0; + int16_t tmp16a = 0; + int16_t tmp16b = 0; + int32_t tmp32 = 0; + + // synthesis + for (i = 0; i < inst->anaLen; i++) { + tmp16a = (int16_t)WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( + inst->window[i], inst->real[i], 14); // Q0, window in Q14 + tmp32 = WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND(tmp16a, gain_factor, 13); // Q0 + // Down shift with rounding + tmp16b = WebRtcSpl_SatW32ToW16(tmp32); // Q0 + inst->synthesisBuffer[i] = WebRtcSpl_AddSatW16(inst->synthesisBuffer[i], + tmp16b); // Q0 + } + + // read out fully processed segment + for (i = 0; i < inst->blockLen10ms; i++) { + out_frame[i] = inst->synthesisBuffer[i]; // Q0 + } + + // update synthesis buffer + memcpy(inst->synthesisBuffer, inst->synthesisBuffer + inst->blockLen10ms, + (inst->anaLen - inst->blockLen10ms) * sizeof(*inst->synthesisBuffer)); + WebRtcSpl_ZerosArrayW16(inst->synthesisBuffer + + inst->anaLen - inst->blockLen10ms, inst->blockLen10ms); +} + +// Update analysis buffer for lower band, and window data before FFT. +static void AnalysisUpdateC(NoiseSuppressionFixedC* inst, + int16_t* out, + int16_t* new_speech) { + size_t i = 0; + + // For lower band update analysis buffer. + memcpy(inst->analysisBuffer, inst->analysisBuffer + inst->blockLen10ms, + (inst->anaLen - inst->blockLen10ms) * sizeof(*inst->analysisBuffer)); + memcpy(inst->analysisBuffer + inst->anaLen - inst->blockLen10ms, new_speech, + inst->blockLen10ms * sizeof(*inst->analysisBuffer)); + + // Window data before FFT. + for (i = 0; i < inst->anaLen; i++) { + out[i] = (int16_t)WEBRTC_SPL_MUL_16_16_RSFT_WITH_ROUND( + inst->window[i], inst->analysisBuffer[i], 14); // Q0 + } +} + +// Normalize the real-valued signal |in|, the input to forward FFT. +static void NormalizeRealBufferC(NoiseSuppressionFixedC* inst, + const int16_t* in, + int16_t* out) { + size_t i = 0; + assert(inst->normData >= 0); + for (i = 0; i < inst->anaLen; ++i) { + out[i] = in[i] << inst->normData; // Q(normData) + } +} + +// Declare function pointers. +NoiseEstimation WebRtcNsx_NoiseEstimation; +PrepareSpectrum WebRtcNsx_PrepareSpectrum; +SynthesisUpdate WebRtcNsx_SynthesisUpdate; +AnalysisUpdate WebRtcNsx_AnalysisUpdate; +Denormalize WebRtcNsx_Denormalize; +NormalizeRealBuffer WebRtcNsx_NormalizeRealBuffer; + +#if (defined WEBRTC_DETECT_NEON || defined WEBRTC_HAS_NEON) +// Initialize function pointers for ARM Neon platform. +static void WebRtcNsx_InitNeon(void) { + WebRtcNsx_NoiseEstimation = WebRtcNsx_NoiseEstimationNeon; + WebRtcNsx_PrepareSpectrum = WebRtcNsx_PrepareSpectrumNeon; + WebRtcNsx_SynthesisUpdate = WebRtcNsx_SynthesisUpdateNeon; + WebRtcNsx_AnalysisUpdate = WebRtcNsx_AnalysisUpdateNeon; +} +#endif + +#if defined(MIPS32_LE) +// Initialize function pointers for MIPS platform. +static void WebRtcNsx_InitMips(void) { + WebRtcNsx_PrepareSpectrum = WebRtcNsx_PrepareSpectrum_mips; + WebRtcNsx_SynthesisUpdate = WebRtcNsx_SynthesisUpdate_mips; + WebRtcNsx_AnalysisUpdate = WebRtcNsx_AnalysisUpdate_mips; + WebRtcNsx_NormalizeRealBuffer = WebRtcNsx_NormalizeRealBuffer_mips; +#if defined(MIPS_DSP_R1_LE) + WebRtcNsx_Denormalize = WebRtcNsx_Denormalize_mips; +#endif +} +#endif + +void WebRtcNsx_CalcParametricNoiseEstimate(NoiseSuppressionFixedC* inst, + int16_t pink_noise_exp_avg, + int32_t pink_noise_num_avg, + int freq_index, + uint32_t* noise_estimate, + uint32_t* noise_estimate_avg) { + int32_t tmp32no1 = 0; + int32_t tmp32no2 = 0; + + int16_t int_part = 0; + int16_t frac_part = 0; + + // Use pink noise estimate + // noise_estimate = 2^(pinkNoiseNumerator + pinkNoiseExp * log2(j)) + assert(freq_index >= 0); + assert(freq_index < 129); + tmp32no2 = (pink_noise_exp_avg * kLogIndex[freq_index]) >> 15; // Q11 + tmp32no1 = pink_noise_num_avg - tmp32no2; // Q11 + + // Calculate output: 2^tmp32no1 + // Output in Q(minNorm-stages) + tmp32no1 += (inst->minNorm - inst->stages) << 11; + if (tmp32no1 > 0) { + int_part = (int16_t)(tmp32no1 >> 11); + frac_part = (int16_t)(tmp32no1 & 0x000007ff); // Q11 + // Piecewise linear approximation of 'b' in + // 2^(int_part+frac_part) = 2^int_part * (1 + b) + // 'b' is given in Q11 and below stored in frac_part. + if (frac_part >> 10) { + // Upper fractional part + tmp32no2 = (2048 - frac_part) * 1244; // Q21 + tmp32no2 = 2048 - (tmp32no2 >> 10); + } else { + // Lower fractional part + tmp32no2 = (frac_part * 804) >> 10; + } + // Shift fractional part to Q(minNorm-stages) + tmp32no2 = WEBRTC_SPL_SHIFT_W32(tmp32no2, int_part - 11); + *noise_estimate_avg = (1 << int_part) + (uint32_t)tmp32no2; + // Scale up to initMagnEst, which is not block averaged + *noise_estimate = (*noise_estimate_avg) * (uint32_t)(inst->blockIndex + 1); + } +} + +// Initialize state +int32_t WebRtcNsx_InitCore(NoiseSuppressionFixedC* inst, uint32_t fs) { + int i; + + //check for valid pointer + if (inst == NULL) { + return -1; + } + // + + // Initialization of struct + if (fs == 8000 || fs == 16000 || fs == 32000 || fs == 48000) { + inst->fs = fs; + } else { + return -1; + } + + if (fs == 8000) { + inst->blockLen10ms = 80; + inst->anaLen = 128; + inst->stages = 7; + inst->window = kBlocks80w128x; + inst->thresholdLogLrt = 131072; //default threshold for LRT feature + inst->maxLrt = 0x0040000; + inst->minLrt = 52429; + } else { + inst->blockLen10ms = 160; + inst->anaLen = 256; + inst->stages = 8; + inst->window = kBlocks160w256x; + inst->thresholdLogLrt = 212644; //default threshold for LRT feature + inst->maxLrt = 0x0080000; + inst->minLrt = 104858; + } + inst->anaLen2 = inst->anaLen / 2; + inst->magnLen = inst->anaLen2 + 1; + + if (inst->real_fft != NULL) { + WebRtcSpl_FreeRealFFT(inst->real_fft); + } + inst->real_fft = WebRtcSpl_CreateRealFFT(inst->stages); + if (inst->real_fft == NULL) { + return -1; + } + + WebRtcSpl_ZerosArrayW16(inst->analysisBuffer, ANAL_BLOCKL_MAX); + WebRtcSpl_ZerosArrayW16(inst->synthesisBuffer, ANAL_BLOCKL_MAX); + + // for HB processing + WebRtcSpl_ZerosArrayW16(inst->dataBufHBFX[0], + NUM_HIGH_BANDS_MAX * ANAL_BLOCKL_MAX); + // for quantile noise estimation + WebRtcSpl_ZerosArrayW16(inst->noiseEstQuantile, HALF_ANAL_BLOCKL); + for (i = 0; i < SIMULT * HALF_ANAL_BLOCKL; i++) { + inst->noiseEstLogQuantile[i] = 2048; // Q8 + inst->noiseEstDensity[i] = 153; // Q9 + } + for (i = 0; i < SIMULT; i++) { + inst->noiseEstCounter[i] = (int16_t)(END_STARTUP_LONG * (i + 1)) / SIMULT; + } + + // Initialize suppression filter with ones + WebRtcSpl_MemSetW16((int16_t*)inst->noiseSupFilter, 16384, HALF_ANAL_BLOCKL); + + // Set the aggressiveness: default + inst->aggrMode = 0; + + //initialize variables for new method + inst->priorNonSpeechProb = 8192; // Q14(0.5) prior probability for speech/noise + for (i = 0; i < HALF_ANAL_BLOCKL; i++) { + inst->prevMagnU16[i] = 0; + inst->prevNoiseU32[i] = 0; //previous noise-spectrum + inst->logLrtTimeAvgW32[i] = 0; //smooth LR ratio + inst->avgMagnPause[i] = 0; //conservative noise spectrum estimate + inst->initMagnEst[i] = 0; //initial average magnitude spectrum + } + + //feature quantities + inst->thresholdSpecDiff = 50; //threshold for difference feature: determined on-line + inst->thresholdSpecFlat = 20480; //threshold for flatness: determined on-line + inst->featureLogLrt = inst->thresholdLogLrt; //average LRT factor (= threshold) + inst->featureSpecFlat = inst->thresholdSpecFlat; //spectral flatness (= threshold) + inst->featureSpecDiff = inst->thresholdSpecDiff; //spectral difference (= threshold) + inst->weightLogLrt = 6; //default weighting par for LRT feature + inst->weightSpecFlat = 0; //default weighting par for spectral flatness feature + inst->weightSpecDiff = 0; //default weighting par for spectral difference feature + + inst->curAvgMagnEnergy = 0; //window time-average of input magnitude spectrum + inst->timeAvgMagnEnergy = 0; //normalization for spectral difference + inst->timeAvgMagnEnergyTmp = 0; //normalization for spectral difference + + //histogram quantities: used to estimate/update thresholds for features + WebRtcSpl_ZerosArrayW16(inst->histLrt, HIST_PAR_EST); + WebRtcSpl_ZerosArrayW16(inst->histSpecDiff, HIST_PAR_EST); + WebRtcSpl_ZerosArrayW16(inst->histSpecFlat, HIST_PAR_EST); + + inst->blockIndex = -1; //frame counter + + //inst->modelUpdate = 500; //window for update + inst->modelUpdate = (1 << STAT_UPDATES); //window for update + inst->cntThresUpdate = 0; //counter feature thresholds updates + + inst->sumMagn = 0; + inst->magnEnergy = 0; + inst->prevQMagn = 0; + inst->qNoise = 0; + inst->prevQNoise = 0; + + inst->energyIn = 0; + inst->scaleEnergyIn = 0; + + inst->whiteNoiseLevel = 0; + inst->pinkNoiseNumerator = 0; + inst->pinkNoiseExp = 0; + inst->minNorm = 15; // Start with full scale + inst->zeroInputSignal = 0; + + //default mode + WebRtcNsx_set_policy_core(inst, 0); + +#ifdef NS_FILEDEBUG + inst->infile = fopen("indebug.pcm", "wb"); + inst->outfile = fopen("outdebug.pcm", "wb"); + inst->file1 = fopen("file1.pcm", "wb"); + inst->file2 = fopen("file2.pcm", "wb"); + inst->file3 = fopen("file3.pcm", "wb"); + inst->file4 = fopen("file4.pcm", "wb"); + inst->file5 = fopen("file5.pcm", "wb"); +#endif + + // Initialize function pointers. + WebRtcNsx_NoiseEstimation = NoiseEstimationC; + WebRtcNsx_PrepareSpectrum = PrepareSpectrumC; + WebRtcNsx_SynthesisUpdate = SynthesisUpdateC; + WebRtcNsx_AnalysisUpdate = AnalysisUpdateC; + WebRtcNsx_Denormalize = DenormalizeC; + WebRtcNsx_NormalizeRealBuffer = NormalizeRealBufferC; + +#ifdef WEBRTC_DETECT_NEON + uint64_t features = WebRtc_GetCPUFeaturesARM(); + if ((features & kCPUFeatureNEON) != 0) { + WebRtcNsx_InitNeon(); + } +#elif defined(WEBRTC_HAS_NEON) + WebRtcNsx_InitNeon(); +#endif + +#if defined(MIPS32_LE) + WebRtcNsx_InitMips(); +#endif + + inst->initFlag = 1; + + return 0; +} + +int WebRtcNsx_set_policy_core(NoiseSuppressionFixedC* inst, int mode) { + // allow for modes:0,1,2,3 + if (mode < 0 || mode > 3) { + return -1; + } + + inst->aggrMode = mode; + if (mode == 0) { + inst->overdrive = 256; // Q8(1.0) + inst->denoiseBound = 8192; // Q14(0.5) + inst->gainMap = 0; // No gain compensation + } else if (mode == 1) { + inst->overdrive = 256; // Q8(1.0) + inst->denoiseBound = 4096; // Q14(0.25) + inst->factor2Table = kFactor2Aggressiveness1; + inst->gainMap = 1; + } else if (mode == 2) { + inst->overdrive = 282; // ~= Q8(1.1) + inst->denoiseBound = 2048; // Q14(0.125) + inst->factor2Table = kFactor2Aggressiveness2; + inst->gainMap = 1; + } else if (mode == 3) { + inst->overdrive = 320; // Q8(1.25) + inst->denoiseBound = 1475; // ~= Q14(0.09) + inst->factor2Table = kFactor2Aggressiveness3; + inst->gainMap = 1; + } + return 0; +} + +// Extract thresholds for feature parameters +// histograms are computed over some window_size (given by window_pars) +// thresholds and weights are extracted every window +// flag 0 means update histogram only, flag 1 means compute the thresholds/weights +// threshold and weights are returned in: inst->priorModelPars +void WebRtcNsx_FeatureParameterExtraction(NoiseSuppressionFixedC* inst, + int flag) { + uint32_t tmpU32; + uint32_t histIndex; + uint32_t posPeak1SpecFlatFX, posPeak2SpecFlatFX; + uint32_t posPeak1SpecDiffFX, posPeak2SpecDiffFX; + + int32_t tmp32; + int32_t fluctLrtFX, thresFluctLrtFX; + int32_t avgHistLrtFX, avgSquareHistLrtFX, avgHistLrtComplFX; + + int16_t j; + int16_t numHistLrt; + + int i; + int useFeatureSpecFlat, useFeatureSpecDiff, featureSum; + int maxPeak1, maxPeak2; + int weightPeak1SpecFlat, weightPeak2SpecFlat; + int weightPeak1SpecDiff, weightPeak2SpecDiff; + + //update histograms + if (!flag) { + // LRT + // Type casting to UWord32 is safe since negative values will not be wrapped to larger + // values than HIST_PAR_EST + histIndex = (uint32_t)(inst->featureLogLrt); + if (histIndex < HIST_PAR_EST) { + inst->histLrt[histIndex]++; + } + // Spectral flatness + // (inst->featureSpecFlat*20)>>10 = (inst->featureSpecFlat*5)>>8 + histIndex = (inst->featureSpecFlat * 5) >> 8; + if (histIndex < HIST_PAR_EST) { + inst->histSpecFlat[histIndex]++; + } + // Spectral difference + histIndex = HIST_PAR_EST; + if (inst->timeAvgMagnEnergy > 0) { + // Guard against division by zero + // If timeAvgMagnEnergy == 0 we have no normalizing statistics and + // therefore can't update the histogram + histIndex = ((inst->featureSpecDiff * 5) >> inst->stages) / + inst->timeAvgMagnEnergy; + } + if (histIndex < HIST_PAR_EST) { + inst->histSpecDiff[histIndex]++; + } + } + + // extract parameters for speech/noise probability + if (flag) { + useFeatureSpecDiff = 1; + //for LRT feature: + // compute the average over inst->featureExtractionParams.rangeAvgHistLrt + avgHistLrtFX = 0; + avgSquareHistLrtFX = 0; + numHistLrt = 0; + for (i = 0; i < BIN_SIZE_LRT; i++) { + j = (2 * i + 1); + tmp32 = inst->histLrt[i] * j; + avgHistLrtFX += tmp32; + numHistLrt += inst->histLrt[i]; + avgSquareHistLrtFX += tmp32 * j; + } + avgHistLrtComplFX = avgHistLrtFX; + for (; i < HIST_PAR_EST; i++) { + j = (2 * i + 1); + tmp32 = inst->histLrt[i] * j; + avgHistLrtComplFX += tmp32; + avgSquareHistLrtFX += tmp32 * j; + } + fluctLrtFX = avgSquareHistLrtFX * numHistLrt - + avgHistLrtFX * avgHistLrtComplFX; + thresFluctLrtFX = THRES_FLUCT_LRT * numHistLrt; + // get threshold for LRT feature: + tmpU32 = (FACTOR_1_LRT_DIFF * (uint32_t)avgHistLrtFX); + if ((fluctLrtFX < thresFluctLrtFX) || (numHistLrt == 0) || + (tmpU32 > (uint32_t)(100 * numHistLrt))) { + //very low fluctuation, so likely noise + inst->thresholdLogLrt = inst->maxLrt; + } else { + tmp32 = (int32_t)((tmpU32 << (9 + inst->stages)) / numHistLrt / + 25); + // check if value is within min/max range + inst->thresholdLogLrt = WEBRTC_SPL_SAT(inst->maxLrt, + tmp32, + inst->minLrt); + } + if (fluctLrtFX < thresFluctLrtFX) { + // Do not use difference feature if fluctuation of LRT feature is very low: + // most likely just noise state + useFeatureSpecDiff = 0; + } + + // for spectral flatness and spectral difference: compute the main peaks of histogram + maxPeak1 = 0; + maxPeak2 = 0; + posPeak1SpecFlatFX = 0; + posPeak2SpecFlatFX = 0; + weightPeak1SpecFlat = 0; + weightPeak2SpecFlat = 0; + + // peaks for flatness + for (i = 0; i < HIST_PAR_EST; i++) { + if (inst->histSpecFlat[i] > maxPeak1) { + // Found new "first" peak + maxPeak2 = maxPeak1; + weightPeak2SpecFlat = weightPeak1SpecFlat; + posPeak2SpecFlatFX = posPeak1SpecFlatFX; + + maxPeak1 = inst->histSpecFlat[i]; + weightPeak1SpecFlat = inst->histSpecFlat[i]; + posPeak1SpecFlatFX = (uint32_t)(2 * i + 1); + } else if (inst->histSpecFlat[i] > maxPeak2) { + // Found new "second" peak + maxPeak2 = inst->histSpecFlat[i]; + weightPeak2SpecFlat = inst->histSpecFlat[i]; + posPeak2SpecFlatFX = (uint32_t)(2 * i + 1); + } + } + + // for spectral flatness feature + useFeatureSpecFlat = 1; + // merge the two peaks if they are close + if ((posPeak1SpecFlatFX - posPeak2SpecFlatFX < LIM_PEAK_SPACE_FLAT_DIFF) + && (weightPeak2SpecFlat * LIM_PEAK_WEIGHT_FLAT_DIFF > weightPeak1SpecFlat)) { + weightPeak1SpecFlat += weightPeak2SpecFlat; + posPeak1SpecFlatFX = (posPeak1SpecFlatFX + posPeak2SpecFlatFX) >> 1; + } + //reject if weight of peaks is not large enough, or peak value too small + if (weightPeak1SpecFlat < THRES_WEIGHT_FLAT_DIFF || posPeak1SpecFlatFX + < THRES_PEAK_FLAT) { + useFeatureSpecFlat = 0; + } else { // if selected, get the threshold + // compute the threshold and check if value is within min/max range + inst->thresholdSpecFlat = WEBRTC_SPL_SAT(MAX_FLAT_Q10, FACTOR_2_FLAT_Q10 + * posPeak1SpecFlatFX, MIN_FLAT_Q10); //Q10 + } + // done with flatness feature + + if (useFeatureSpecDiff) { + //compute two peaks for spectral difference + maxPeak1 = 0; + maxPeak2 = 0; + posPeak1SpecDiffFX = 0; + posPeak2SpecDiffFX = 0; + weightPeak1SpecDiff = 0; + weightPeak2SpecDiff = 0; + // peaks for spectral difference + for (i = 0; i < HIST_PAR_EST; i++) { + if (inst->histSpecDiff[i] > maxPeak1) { + // Found new "first" peak + maxPeak2 = maxPeak1; + weightPeak2SpecDiff = weightPeak1SpecDiff; + posPeak2SpecDiffFX = posPeak1SpecDiffFX; + + maxPeak1 = inst->histSpecDiff[i]; + weightPeak1SpecDiff = inst->histSpecDiff[i]; + posPeak1SpecDiffFX = (uint32_t)(2 * i + 1); + } else if (inst->histSpecDiff[i] > maxPeak2) { + // Found new "second" peak + maxPeak2 = inst->histSpecDiff[i]; + weightPeak2SpecDiff = inst->histSpecDiff[i]; + posPeak2SpecDiffFX = (uint32_t)(2 * i + 1); + } + } + + // merge the two peaks if they are close + if ((posPeak1SpecDiffFX - posPeak2SpecDiffFX < LIM_PEAK_SPACE_FLAT_DIFF) + && (weightPeak2SpecDiff * LIM_PEAK_WEIGHT_FLAT_DIFF > weightPeak1SpecDiff)) { + weightPeak1SpecDiff += weightPeak2SpecDiff; + posPeak1SpecDiffFX = (posPeak1SpecDiffFX + posPeak2SpecDiffFX) >> 1; + } + // get the threshold value and check if value is within min/max range + inst->thresholdSpecDiff = WEBRTC_SPL_SAT(MAX_DIFF, FACTOR_1_LRT_DIFF + * posPeak1SpecDiffFX, MIN_DIFF); //5x bigger + //reject if weight of peaks is not large enough + if (weightPeak1SpecDiff < THRES_WEIGHT_FLAT_DIFF) { + useFeatureSpecDiff = 0; + } + // done with spectral difference feature + } + + // select the weights between the features + // inst->priorModelPars[4] is weight for LRT: always selected + featureSum = 6 / (1 + useFeatureSpecFlat + useFeatureSpecDiff); + inst->weightLogLrt = featureSum; + inst->weightSpecFlat = useFeatureSpecFlat * featureSum; + inst->weightSpecDiff = useFeatureSpecDiff * featureSum; + + // set histograms to zero for next update + WebRtcSpl_ZerosArrayW16(inst->histLrt, HIST_PAR_EST); + WebRtcSpl_ZerosArrayW16(inst->histSpecDiff, HIST_PAR_EST); + WebRtcSpl_ZerosArrayW16(inst->histSpecFlat, HIST_PAR_EST); + } // end of flag == 1 +} + + +// Compute spectral flatness on input spectrum +// magn is the magnitude spectrum +// spectral flatness is returned in inst->featureSpecFlat +void WebRtcNsx_ComputeSpectralFlatness(NoiseSuppressionFixedC* inst, + uint16_t* magn) { + uint32_t tmpU32; + uint32_t avgSpectralFlatnessNum, avgSpectralFlatnessDen; + + int32_t tmp32; + int32_t currentSpectralFlatness, logCurSpectralFlatness; + + int16_t zeros, frac, intPart; + + size_t i; + + // for flatness + avgSpectralFlatnessNum = 0; + avgSpectralFlatnessDen = inst->sumMagn - (uint32_t)magn[0]; // Q(normData-stages) + + // compute log of ratio of the geometric to arithmetic mean: check for log(0) case + // flatness = exp( sum(log(magn[i]))/N - log(sum(magn[i])/N) ) + // = exp( sum(log(magn[i]))/N ) * N / sum(magn[i]) + // = 2^( sum(log2(magn[i]))/N - (log2(sum(magn[i])) - log2(N)) ) [This is used] + for (i = 1; i < inst->magnLen; i++) { + // First bin is excluded from spectrum measures. Number of bins is now a power of 2 + if (magn[i]) { + zeros = WebRtcSpl_NormU32((uint32_t)magn[i]); + frac = (int16_t)(((uint32_t)((uint32_t)(magn[i]) << zeros) + & 0x7FFFFFFF) >> 23); + // log2(magn(i)) + assert(frac < 256); + tmpU32 = (uint32_t)(((31 - zeros) << 8) + + WebRtcNsx_kLogTableFrac[frac]); // Q8 + avgSpectralFlatnessNum += tmpU32; // Q8 + } else { + //if at least one frequency component is zero, treat separately + tmpU32 = WEBRTC_SPL_UMUL_32_16(inst->featureSpecFlat, SPECT_FLAT_TAVG_Q14); // Q24 + inst->featureSpecFlat -= tmpU32 >> 14; // Q10 + return; + } + } + //ratio and inverse log: check for case of log(0) + zeros = WebRtcSpl_NormU32(avgSpectralFlatnessDen); + frac = (int16_t)(((avgSpectralFlatnessDen << zeros) & 0x7FFFFFFF) >> 23); + // log2(avgSpectralFlatnessDen) + assert(frac < 256); + tmp32 = (int32_t)(((31 - zeros) << 8) + WebRtcNsx_kLogTableFrac[frac]); // Q8 + logCurSpectralFlatness = (int32_t)avgSpectralFlatnessNum; + logCurSpectralFlatness += ((int32_t)(inst->stages - 1) << (inst->stages + 7)); // Q(8+stages-1) + logCurSpectralFlatness -= (tmp32 << (inst->stages - 1)); + logCurSpectralFlatness <<= (10 - inst->stages); // Q17 + tmp32 = (int32_t)(0x00020000 | (WEBRTC_SPL_ABS_W32(logCurSpectralFlatness) + & 0x0001FFFF)); //Q17 + intPart = 7 - (logCurSpectralFlatness >> 17); // Add 7 for output in Q10. + if (intPart > 0) { + currentSpectralFlatness = tmp32 >> intPart; + } else { + currentSpectralFlatness = tmp32 << -intPart; + } + + //time average update of spectral flatness feature + tmp32 = currentSpectralFlatness - (int32_t)inst->featureSpecFlat; // Q10 + tmp32 *= SPECT_FLAT_TAVG_Q14; // Q24 + inst->featureSpecFlat += tmp32 >> 14; // Q10 + // done with flatness feature +} + + +// Compute the difference measure between input spectrum and a template/learned noise spectrum +// magn_tmp is the input spectrum +// the reference/template spectrum is inst->magn_avg_pause[i] +// returns (normalized) spectral difference in inst->featureSpecDiff +void WebRtcNsx_ComputeSpectralDifference(NoiseSuppressionFixedC* inst, + uint16_t* magnIn) { + // This is to be calculated: + // avgDiffNormMagn = var(magnIn) - cov(magnIn, magnAvgPause)^2 / var(magnAvgPause) + + uint32_t tmpU32no1, tmpU32no2; + uint32_t varMagnUFX, varPauseUFX, avgDiffNormMagnUFX; + + int32_t tmp32no1, tmp32no2; + int32_t avgPauseFX, avgMagnFX, covMagnPauseFX; + int32_t maxPause, minPause; + + int16_t tmp16no1; + + size_t i; + int norm32, nShifts; + + avgPauseFX = 0; + maxPause = 0; + minPause = inst->avgMagnPause[0]; // Q(prevQMagn) + // compute average quantities + for (i = 0; i < inst->magnLen; i++) { + // Compute mean of magn_pause + avgPauseFX += inst->avgMagnPause[i]; // in Q(prevQMagn) + maxPause = WEBRTC_SPL_MAX(maxPause, inst->avgMagnPause[i]); + minPause = WEBRTC_SPL_MIN(minPause, inst->avgMagnPause[i]); + } + // normalize by replacing div of "inst->magnLen" with "inst->stages-1" shifts + avgPauseFX >>= inst->stages - 1; + avgMagnFX = inst->sumMagn >> (inst->stages - 1); + // Largest possible deviation in magnPause for (co)var calculations + tmp32no1 = WEBRTC_SPL_MAX(maxPause - avgPauseFX, avgPauseFX - minPause); + // Get number of shifts to make sure we don't get wrap around in varPause + nShifts = WEBRTC_SPL_MAX(0, 10 + inst->stages - WebRtcSpl_NormW32(tmp32no1)); + + varMagnUFX = 0; + varPauseUFX = 0; + covMagnPauseFX = 0; + for (i = 0; i < inst->magnLen; i++) { + // Compute var and cov of magn and magn_pause + tmp16no1 = (int16_t)((int32_t)magnIn[i] - avgMagnFX); + tmp32no2 = inst->avgMagnPause[i] - avgPauseFX; + varMagnUFX += (uint32_t)(tmp16no1 * tmp16no1); // Q(2*qMagn) + tmp32no1 = tmp32no2 * tmp16no1; // Q(prevQMagn+qMagn) + covMagnPauseFX += tmp32no1; // Q(prevQMagn+qMagn) + tmp32no1 = tmp32no2 >> nShifts; // Q(prevQMagn-minPause). + varPauseUFX += tmp32no1 * tmp32no1; // Q(2*(prevQMagn-minPause)) + } + //update of average magnitude spectrum: Q(-2*stages) and averaging replaced by shifts + inst->curAvgMagnEnergy += + inst->magnEnergy >> (2 * inst->normData + inst->stages - 1); + + avgDiffNormMagnUFX = varMagnUFX; // Q(2*qMagn) + if ((varPauseUFX) && (covMagnPauseFX)) { + tmpU32no1 = (uint32_t)WEBRTC_SPL_ABS_W32(covMagnPauseFX); // Q(prevQMagn+qMagn) + norm32 = WebRtcSpl_NormU32(tmpU32no1) - 16; + if (norm32 > 0) { + tmpU32no1 <<= norm32; // Q(prevQMagn+qMagn+norm32) + } else { + tmpU32no1 >>= -norm32; // Q(prevQMagn+qMagn+norm32) + } + tmpU32no2 = WEBRTC_SPL_UMUL(tmpU32no1, tmpU32no1); // Q(2*(prevQMagn+qMagn-norm32)) + + nShifts += norm32; + nShifts <<= 1; + if (nShifts < 0) { + varPauseUFX >>= (-nShifts); // Q(2*(qMagn+norm32+minPause)) + nShifts = 0; + } + if (varPauseUFX > 0) { + // Q(2*(qMagn+norm32-16+minPause)) + tmpU32no1 = tmpU32no2 / varPauseUFX; + tmpU32no1 >>= nShifts; + + // Q(2*qMagn) + avgDiffNormMagnUFX -= WEBRTC_SPL_MIN(avgDiffNormMagnUFX, tmpU32no1); + } else { + avgDiffNormMagnUFX = 0; + } + } + //normalize and compute time average update of difference feature + tmpU32no1 = avgDiffNormMagnUFX >> (2 * inst->normData); + if (inst->featureSpecDiff > tmpU32no1) { + tmpU32no2 = WEBRTC_SPL_UMUL_32_16(inst->featureSpecDiff - tmpU32no1, + SPECT_DIFF_TAVG_Q8); // Q(8-2*stages) + inst->featureSpecDiff -= tmpU32no2 >> 8; // Q(-2*stages) + } else { + tmpU32no2 = WEBRTC_SPL_UMUL_32_16(tmpU32no1 - inst->featureSpecDiff, + SPECT_DIFF_TAVG_Q8); // Q(8-2*stages) + inst->featureSpecDiff += tmpU32no2 >> 8; // Q(-2*stages) + } +} + +// Transform input (speechFrame) to frequency domain magnitude (magnU16) +void WebRtcNsx_DataAnalysis(NoiseSuppressionFixedC* inst, + short* speechFrame, + uint16_t* magnU16) { + uint32_t tmpU32no1; + + int32_t tmp_1_w32 = 0; + int32_t tmp_2_w32 = 0; + int32_t sum_log_magn = 0; + int32_t sum_log_i_log_magn = 0; + + uint16_t sum_log_magn_u16 = 0; + uint16_t tmp_u16 = 0; + + int16_t sum_log_i = 0; + int16_t sum_log_i_square = 0; + int16_t frac = 0; + int16_t log2 = 0; + int16_t matrix_determinant = 0; + int16_t maxWinData; + + size_t i, j; + int zeros; + int net_norm = 0; + int right_shifts_in_magnU16 = 0; + int right_shifts_in_initMagnEst = 0; + + int16_t winData_buff[ANAL_BLOCKL_MAX * 2 + 16]; + int16_t realImag_buff[ANAL_BLOCKL_MAX * 2 + 16]; + + // Align the structures to 32-byte boundary for the FFT function. + int16_t* winData = (int16_t*) (((uintptr_t)winData_buff + 31) & ~31); + int16_t* realImag = (int16_t*) (((uintptr_t) realImag_buff + 31) & ~31); + + // Update analysis buffer for lower band, and window data before FFT. + WebRtcNsx_AnalysisUpdate(inst, winData, speechFrame); + + // Get input energy + inst->energyIn = + WebRtcSpl_Energy(winData, inst->anaLen, &inst->scaleEnergyIn); + + // Reset zero input flag + inst->zeroInputSignal = 0; + // Acquire norm for winData + maxWinData = WebRtcSpl_MaxAbsValueW16(winData, inst->anaLen); + inst->normData = WebRtcSpl_NormW16(maxWinData); + if (maxWinData == 0) { + // Treat zero input separately. + inst->zeroInputSignal = 1; + return; + } + + // Determine the net normalization in the frequency domain + net_norm = inst->stages - inst->normData; + // Track lowest normalization factor and use it to prevent wrap around in shifting + right_shifts_in_magnU16 = inst->normData - inst->minNorm; + right_shifts_in_initMagnEst = WEBRTC_SPL_MAX(-right_shifts_in_magnU16, 0); + inst->minNorm -= right_shifts_in_initMagnEst; + right_shifts_in_magnU16 = WEBRTC_SPL_MAX(right_shifts_in_magnU16, 0); + + // create realImag as winData interleaved with zeros (= imag. part), normalize it + WebRtcNsx_NormalizeRealBuffer(inst, winData, realImag); + + // FFT output will be in winData[]. + WebRtcSpl_RealForwardFFT(inst->real_fft, realImag, winData); + + inst->imag[0] = 0; // Q(normData-stages) + inst->imag[inst->anaLen2] = 0; + inst->real[0] = winData[0]; // Q(normData-stages) + inst->real[inst->anaLen2] = winData[inst->anaLen]; + // Q(2*(normData-stages)) + inst->magnEnergy = (uint32_t)(inst->real[0] * inst->real[0]); + inst->magnEnergy += (uint32_t)(inst->real[inst->anaLen2] * + inst->real[inst->anaLen2]); + magnU16[0] = (uint16_t)WEBRTC_SPL_ABS_W16(inst->real[0]); // Q(normData-stages) + magnU16[inst->anaLen2] = (uint16_t)WEBRTC_SPL_ABS_W16(inst->real[inst->anaLen2]); + inst->sumMagn = (uint32_t)magnU16[0]; // Q(normData-stages) + inst->sumMagn += (uint32_t)magnU16[inst->anaLen2]; + + if (inst->blockIndex >= END_STARTUP_SHORT) { + for (i = 1, j = 2; i < inst->anaLen2; i += 1, j += 2) { + inst->real[i] = winData[j]; + inst->imag[i] = -winData[j + 1]; + // magnitude spectrum + // energy in Q(2*(normData-stages)) + tmpU32no1 = (uint32_t)(winData[j] * winData[j]); + tmpU32no1 += (uint32_t)(winData[j + 1] * winData[j + 1]); + inst->magnEnergy += tmpU32no1; // Q(2*(normData-stages)) + + magnU16[i] = (uint16_t)WebRtcSpl_SqrtFloor(tmpU32no1); // Q(normData-stages) + inst->sumMagn += (uint32_t)magnU16[i]; // Q(normData-stages) + } + } else { + // + // Gather information during startup for noise parameter estimation + // + + // Switch initMagnEst to Q(minNorm-stages) + inst->initMagnEst[0] >>= right_shifts_in_initMagnEst; + inst->initMagnEst[inst->anaLen2] >>= right_shifts_in_initMagnEst; + + // Update initMagnEst with magnU16 in Q(minNorm-stages). + inst->initMagnEst[0] += magnU16[0] >> right_shifts_in_magnU16; + inst->initMagnEst[inst->anaLen2] += + magnU16[inst->anaLen2] >> right_shifts_in_magnU16; + + log2 = 0; + if (magnU16[inst->anaLen2]) { + // Calculate log2(magnU16[inst->anaLen2]) + zeros = WebRtcSpl_NormU32((uint32_t)magnU16[inst->anaLen2]); + frac = (int16_t)((((uint32_t)magnU16[inst->anaLen2] << zeros) & + 0x7FFFFFFF) >> 23); // Q8 + // log2(magnU16(i)) in Q8 + assert(frac < 256); + log2 = (int16_t)(((31 - zeros) << 8) + WebRtcNsx_kLogTableFrac[frac]); + } + + sum_log_magn = (int32_t)log2; // Q8 + // sum_log_i_log_magn in Q17 + sum_log_i_log_magn = (kLogIndex[inst->anaLen2] * log2) >> 3; + + for (i = 1, j = 2; i < inst->anaLen2; i += 1, j += 2) { + inst->real[i] = winData[j]; + inst->imag[i] = -winData[j + 1]; + // magnitude spectrum + // energy in Q(2*(normData-stages)) + tmpU32no1 = (uint32_t)(winData[j] * winData[j]); + tmpU32no1 += (uint32_t)(winData[j + 1] * winData[j + 1]); + inst->magnEnergy += tmpU32no1; // Q(2*(normData-stages)) + + magnU16[i] = (uint16_t)WebRtcSpl_SqrtFloor(tmpU32no1); // Q(normData-stages) + inst->sumMagn += (uint32_t)magnU16[i]; // Q(normData-stages) + + // Switch initMagnEst to Q(minNorm-stages) + inst->initMagnEst[i] >>= right_shifts_in_initMagnEst; + + // Update initMagnEst with magnU16 in Q(minNorm-stages). + inst->initMagnEst[i] += magnU16[i] >> right_shifts_in_magnU16; + + if (i >= kStartBand) { + // For pink noise estimation. Collect data neglecting lower frequency band + log2 = 0; + if (magnU16[i]) { + zeros = WebRtcSpl_NormU32((uint32_t)magnU16[i]); + frac = (int16_t)((((uint32_t)magnU16[i] << zeros) & + 0x7FFFFFFF) >> 23); + // log2(magnU16(i)) in Q8 + assert(frac < 256); + log2 = (int16_t)(((31 - zeros) << 8) + + WebRtcNsx_kLogTableFrac[frac]); + } + sum_log_magn += (int32_t)log2; // Q8 + // sum_log_i_log_magn in Q17 + sum_log_i_log_magn += (kLogIndex[i] * log2) >> 3; + } + } + + // + //compute simplified noise model during startup + // + + // Estimate White noise + + // Switch whiteNoiseLevel to Q(minNorm-stages) + inst->whiteNoiseLevel >>= right_shifts_in_initMagnEst; + + // Update the average magnitude spectrum, used as noise estimate. + tmpU32no1 = WEBRTC_SPL_UMUL_32_16(inst->sumMagn, inst->overdrive); + tmpU32no1 >>= inst->stages + 8; + + // Replacing division above with 'stages' shifts + // Shift to same Q-domain as whiteNoiseLevel + tmpU32no1 >>= right_shifts_in_magnU16; + // This operation is safe from wrap around as long as END_STARTUP_SHORT < 128 + assert(END_STARTUP_SHORT < 128); + inst->whiteNoiseLevel += tmpU32no1; // Q(minNorm-stages) + + // Estimate Pink noise parameters + // Denominator used in both parameter estimates. + // The value is only dependent on the size of the frequency band (kStartBand) + // and to reduce computational complexity stored in a table (kDeterminantEstMatrix[]) + assert(kStartBand < 66); + matrix_determinant = kDeterminantEstMatrix[kStartBand]; // Q0 + sum_log_i = kSumLogIndex[kStartBand]; // Q5 + sum_log_i_square = kSumSquareLogIndex[kStartBand]; // Q2 + if (inst->fs == 8000) { + // Adjust values to shorter blocks in narrow band. + tmp_1_w32 = (int32_t)matrix_determinant; + tmp_1_w32 += (kSumLogIndex[65] * sum_log_i) >> 9; + tmp_1_w32 -= (kSumLogIndex[65] * kSumLogIndex[65]) >> 10; + tmp_1_w32 -= (int32_t)sum_log_i_square << 4; + tmp_1_w32 -= ((inst->magnLen - kStartBand) * kSumSquareLogIndex[65]) >> 2; + matrix_determinant = (int16_t)tmp_1_w32; + sum_log_i -= kSumLogIndex[65]; // Q5 + sum_log_i_square -= kSumSquareLogIndex[65]; // Q2 + } + + // Necessary number of shifts to fit sum_log_magn in a word16 + zeros = 16 - WebRtcSpl_NormW32(sum_log_magn); + if (zeros < 0) { + zeros = 0; + } + tmp_1_w32 = sum_log_magn << 1; // Q9 + sum_log_magn_u16 = (uint16_t)(tmp_1_w32 >> zeros); // Q(9-zeros). + + // Calculate and update pinkNoiseNumerator. Result in Q11. + tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i_square, sum_log_magn_u16); // Q(11-zeros) + tmpU32no1 = sum_log_i_log_magn >> 12; // Q5 + + // Shift the largest value of sum_log_i and tmp32no3 before multiplication + tmp_u16 = ((uint16_t)sum_log_i << 1); // Q6 + if ((uint32_t)sum_log_i > tmpU32no1) { + tmp_u16 >>= zeros; + } else { + tmpU32no1 >>= zeros; + } + tmp_2_w32 -= (int32_t)WEBRTC_SPL_UMUL_32_16(tmpU32no1, tmp_u16); // Q(11-zeros) + matrix_determinant >>= zeros; // Q(-zeros) + tmp_2_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q11 + tmp_2_w32 += (int32_t)net_norm << 11; // Q11 + if (tmp_2_w32 < 0) { + tmp_2_w32 = 0; + } + inst->pinkNoiseNumerator += tmp_2_w32; // Q11 + + // Calculate and update pinkNoiseExp. Result in Q14. + tmp_2_w32 = WEBRTC_SPL_MUL_16_U16(sum_log_i, sum_log_magn_u16); // Q(14-zeros) + tmp_1_w32 = sum_log_i_log_magn >> (3 + zeros); + tmp_1_w32 *= inst->magnLen - kStartBand; + tmp_2_w32 -= tmp_1_w32; // Q(14-zeros) + if (tmp_2_w32 > 0) { + // If the exponential parameter is negative force it to zero, which means a + // flat spectrum. + tmp_1_w32 = WebRtcSpl_DivW32W16(tmp_2_w32, matrix_determinant); // Q14 + inst->pinkNoiseExp += WEBRTC_SPL_SAT(16384, tmp_1_w32, 0); // Q14 + } + } +} + +void WebRtcNsx_DataSynthesis(NoiseSuppressionFixedC* inst, short* outFrame) { + int32_t energyOut; + + int16_t realImag_buff[ANAL_BLOCKL_MAX * 2 + 16]; + int16_t rfft_out_buff[ANAL_BLOCKL_MAX * 2 + 16]; + + // Align the structures to 32-byte boundary for the FFT function. + int16_t* realImag = (int16_t*) (((uintptr_t)realImag_buff + 31) & ~31); + int16_t* rfft_out = (int16_t*) (((uintptr_t) rfft_out_buff + 31) & ~31); + + int16_t tmp16no1, tmp16no2; + int16_t energyRatio; + int16_t gainFactor, gainFactor1, gainFactor2; + + size_t i; + int outCIFFT; + int scaleEnergyOut = 0; + + if (inst->zeroInputSignal) { + // synthesize the special case of zero input + // read out fully processed segment + for (i = 0; i < inst->blockLen10ms; i++) { + outFrame[i] = inst->synthesisBuffer[i]; // Q0 + } + // update synthesis buffer + memcpy(inst->synthesisBuffer, inst->synthesisBuffer + inst->blockLen10ms, + (inst->anaLen - inst->blockLen10ms) * sizeof(*inst->synthesisBuffer)); + WebRtcSpl_ZerosArrayW16(inst->synthesisBuffer + inst->anaLen - inst->blockLen10ms, + inst->blockLen10ms); + return; + } + + // Filter the data in the frequency domain, and create spectrum. + WebRtcNsx_PrepareSpectrum(inst, realImag); + + // Inverse FFT output will be in rfft_out[]. + outCIFFT = WebRtcSpl_RealInverseFFT(inst->real_fft, realImag, rfft_out); + + WebRtcNsx_Denormalize(inst, rfft_out, outCIFFT); + + //scale factor: only do it after END_STARTUP_LONG time + gainFactor = 8192; // 8192 = Q13(1.0) + if (inst->gainMap == 1 && + inst->blockIndex > END_STARTUP_LONG && + inst->energyIn > 0) { + // Q(-scaleEnergyOut) + energyOut = WebRtcSpl_Energy(inst->real, inst->anaLen, &scaleEnergyOut); + if (scaleEnergyOut == 0 && !(energyOut & 0x7f800000)) { + energyOut = WEBRTC_SPL_SHIFT_W32(energyOut, 8 + scaleEnergyOut + - inst->scaleEnergyIn); + } else { + // |energyIn| is currently in Q(|scaleEnergyIn|), but to later on end up + // with an |energyRatio| in Q8 we need to change the Q-domain to + // Q(-8-scaleEnergyOut). + inst->energyIn >>= 8 + scaleEnergyOut - inst->scaleEnergyIn; + } + + assert(inst->energyIn > 0); + energyRatio = (energyOut + inst->energyIn / 2) / inst->energyIn; // Q8 + // Limit the ratio to [0, 1] in Q8, i.e., [0, 256] + energyRatio = WEBRTC_SPL_SAT(256, energyRatio, 0); + + // all done in lookup tables now + assert(energyRatio < 257); + gainFactor1 = kFactor1Table[energyRatio]; // Q8 + gainFactor2 = inst->factor2Table[energyRatio]; // Q8 + + //combine both scales with speech/noise prob: note prior (priorSpeechProb) is not frequency dependent + + // factor = inst->priorSpeechProb*factor1 + (1.0-inst->priorSpeechProb)*factor2; // original code + tmp16no1 = (int16_t)(((16384 - inst->priorNonSpeechProb) * gainFactor1) >> + 14); // in Q13, where 16384 = Q14(1.0) + tmp16no2 = (int16_t)((inst->priorNonSpeechProb * gainFactor2) >> 14); + gainFactor = tmp16no1 + tmp16no2; // Q13 + } // out of flag_gain_map==1 + + // Synthesis, read out fully processed segment, and update synthesis buffer. + WebRtcNsx_SynthesisUpdate(inst, outFrame, gainFactor); +} + +void WebRtcNsx_ProcessCore(NoiseSuppressionFixedC* inst, + const short* const* speechFrame, + int num_bands, + short* const* outFrame) { + // main routine for noise suppression + + uint32_t tmpU32no1, tmpU32no2, tmpU32no3; + uint32_t satMax, maxNoiseU32; + uint32_t tmpMagnU32, tmpNoiseU32; + uint32_t nearMagnEst; + uint32_t noiseUpdateU32; + uint32_t noiseU32[HALF_ANAL_BLOCKL]; + uint32_t postLocSnr[HALF_ANAL_BLOCKL]; + uint32_t priorLocSnr[HALF_ANAL_BLOCKL]; + uint32_t prevNearSnr[HALF_ANAL_BLOCKL]; + uint32_t curNearSnr; + uint32_t priorSnr; + uint32_t noise_estimate = 0; + uint32_t noise_estimate_avg = 0; + uint32_t numerator = 0; + + int32_t tmp32no1, tmp32no2; + int32_t pink_noise_num_avg = 0; + + uint16_t tmpU16no1; + uint16_t magnU16[HALF_ANAL_BLOCKL]; + uint16_t prevNoiseU16[HALF_ANAL_BLOCKL]; + uint16_t nonSpeechProbFinal[HALF_ANAL_BLOCKL]; + uint16_t gammaNoise, prevGammaNoise; + uint16_t noiseSupFilterTmp[HALF_ANAL_BLOCKL]; + + int16_t qMagn, qNoise; + int16_t avgProbSpeechHB, gainModHB, avgFilterGainHB, gainTimeDomainHB; + int16_t pink_noise_exp_avg = 0; + + size_t i, j; + int nShifts, postShifts; + int norm32no1, norm32no2; + int flag, sign; + int q_domain_to_use = 0; + + // Code for ARMv7-Neon platform assumes the following: + assert(inst->anaLen > 0); + assert(inst->anaLen2 > 0); + assert(inst->anaLen % 16 == 0); + assert(inst->anaLen2 % 8 == 0); + assert(inst->blockLen10ms > 0); + assert(inst->blockLen10ms % 16 == 0); + assert(inst->magnLen == inst->anaLen2 + 1); + +#ifdef NS_FILEDEBUG + if (fwrite(spframe, sizeof(short), + inst->blockLen10ms, inst->infile) != inst->blockLen10ms) { + assert(false); + } +#endif + + // Check that initialization has been done + assert(inst->initFlag == 1); + assert((num_bands - 1) <= NUM_HIGH_BANDS_MAX); + + const short* const* speechFrameHB = NULL; + short* const* outFrameHB = NULL; + size_t num_high_bands = 0; + if (num_bands > 1) { + speechFrameHB = &speechFrame[1]; + outFrameHB = &outFrame[1]; + num_high_bands = (size_t)(num_bands - 1); + } + + // Store speechFrame and transform to frequency domain + WebRtcNsx_DataAnalysis(inst, (short*)speechFrame[0], magnU16); + + if (inst->zeroInputSignal) { + WebRtcNsx_DataSynthesis(inst, outFrame[0]); + + if (num_bands > 1) { + // update analysis buffer for H band + // append new data to buffer FX + for (i = 0; i < num_high_bands; ++i) { + int block_shift = inst->anaLen - inst->blockLen10ms; + memcpy(inst->dataBufHBFX[i], inst->dataBufHBFX[i] + inst->blockLen10ms, + block_shift * sizeof(*inst->dataBufHBFX[i])); + memcpy(inst->dataBufHBFX[i] + block_shift, speechFrameHB[i], + inst->blockLen10ms * sizeof(*inst->dataBufHBFX[i])); + for (j = 0; j < inst->blockLen10ms; j++) { + outFrameHB[i][j] = inst->dataBufHBFX[i][j]; // Q0 + } + } + } // end of H band gain computation + return; + } + + // Update block index when we have something to process + inst->blockIndex++; + // + + // Norm of magn + qMagn = inst->normData - inst->stages; + + // Compute spectral flatness on input spectrum + WebRtcNsx_ComputeSpectralFlatness(inst, magnU16); + + // quantile noise estimate + WebRtcNsx_NoiseEstimation(inst, magnU16, noiseU32, &qNoise); + + //noise estimate from previous frame + for (i = 0; i < inst->magnLen; i++) { + prevNoiseU16[i] = (uint16_t)(inst->prevNoiseU32[i] >> 11); // Q(prevQNoise) + } + + if (inst->blockIndex < END_STARTUP_SHORT) { + // Noise Q-domain to be used later; see description at end of section. + q_domain_to_use = WEBRTC_SPL_MIN((int)qNoise, inst->minNorm - inst->stages); + + // Calculate frequency independent parts in parametric noise estimate and calculate + // the estimate for the lower frequency band (same values for all frequency bins) + if (inst->pinkNoiseExp) { + pink_noise_exp_avg = (int16_t)WebRtcSpl_DivW32W16(inst->pinkNoiseExp, + (int16_t)(inst->blockIndex + 1)); // Q14 + pink_noise_num_avg = WebRtcSpl_DivW32W16(inst->pinkNoiseNumerator, + (int16_t)(inst->blockIndex + 1)); // Q11 + WebRtcNsx_CalcParametricNoiseEstimate(inst, + pink_noise_exp_avg, + pink_noise_num_avg, + kStartBand, + &noise_estimate, + &noise_estimate_avg); + } else { + // Use white noise estimate if we have poor pink noise parameter estimates + noise_estimate = inst->whiteNoiseLevel; // Q(minNorm-stages) + noise_estimate_avg = noise_estimate / (inst->blockIndex + 1); // Q(minNorm-stages) + } + for (i = 0; i < inst->magnLen; i++) { + // Estimate the background noise using the pink noise parameters if permitted + if ((inst->pinkNoiseExp) && (i >= kStartBand)) { + // Reset noise_estimate + noise_estimate = 0; + noise_estimate_avg = 0; + // Calculate the parametric noise estimate for current frequency bin + WebRtcNsx_CalcParametricNoiseEstimate(inst, + pink_noise_exp_avg, + pink_noise_num_avg, + i, + &noise_estimate, + &noise_estimate_avg); + } + // Calculate parametric Wiener filter + noiseSupFilterTmp[i] = inst->denoiseBound; + if (inst->initMagnEst[i]) { + // numerator = (initMagnEst - noise_estimate * overdrive) + // Result in Q(8+minNorm-stages) + tmpU32no1 = WEBRTC_SPL_UMUL_32_16(noise_estimate, inst->overdrive); + numerator = inst->initMagnEst[i] << 8; + if (numerator > tmpU32no1) { + // Suppression filter coefficient larger than zero, so calculate. + numerator -= tmpU32no1; + + // Determine number of left shifts in numerator for best accuracy after + // division + nShifts = WebRtcSpl_NormU32(numerator); + nShifts = WEBRTC_SPL_SAT(6, nShifts, 0); + + // Shift numerator to Q(nShifts+8+minNorm-stages) + numerator <<= nShifts; + + // Shift denominator to Q(nShifts-6+minNorm-stages) + tmpU32no1 = inst->initMagnEst[i] >> (6 - nShifts); + if (tmpU32no1 == 0) { + // This is only possible if numerator = 0, in which case + // we don't need any division. + tmpU32no1 = 1; + } + tmpU32no2 = numerator / tmpU32no1; // Q14 + noiseSupFilterTmp[i] = (uint16_t)WEBRTC_SPL_SAT(16384, tmpU32no2, + (uint32_t)(inst->denoiseBound)); // Q14 + } + } + // Weight quantile noise 'noiseU32' with modeled noise 'noise_estimate_avg' + // 'noiseU32 is in Q(qNoise) and 'noise_estimate' in Q(minNorm-stages) + // To guarantee that we do not get wrap around when shifting to the same domain + // we use the lowest one. Furthermore, we need to save 6 bits for the weighting. + // 'noise_estimate_avg' can handle this operation by construction, but 'noiseU32' + // may not. + + // Shift 'noiseU32' to 'q_domain_to_use' + tmpU32no1 = noiseU32[i] >> (qNoise - q_domain_to_use); + // Shift 'noise_estimate_avg' to 'q_domain_to_use' + tmpU32no2 = noise_estimate_avg >> + (inst->minNorm - inst->stages - q_domain_to_use); + // Make a simple check to see if we have enough room for weighting 'tmpU32no1' + // without wrap around + nShifts = 0; + if (tmpU32no1 & 0xfc000000) { + tmpU32no1 >>= 6; + tmpU32no2 >>= 6; + nShifts = 6; + } + tmpU32no1 *= inst->blockIndex; + tmpU32no2 *= (END_STARTUP_SHORT - inst->blockIndex); + // Add them together and divide by startup length + noiseU32[i] = WebRtcSpl_DivU32U16(tmpU32no1 + tmpU32no2, END_STARTUP_SHORT); + // Shift back if necessary + noiseU32[i] <<= nShifts; + } + // Update new Q-domain for 'noiseU32' + qNoise = q_domain_to_use; + } + // compute average signal during END_STARTUP_LONG time: + // used to normalize spectral difference measure + if (inst->blockIndex < END_STARTUP_LONG) { + // substituting division with shift ending up in Q(-2*stages) + inst->timeAvgMagnEnergyTmp += + inst->magnEnergy >> (2 * inst->normData + inst->stages - 1); + inst->timeAvgMagnEnergy = WebRtcSpl_DivU32U16(inst->timeAvgMagnEnergyTmp, + inst->blockIndex + 1); + } + + //start processing at frames == converged+1 + // STEP 1: compute prior and post SNR based on quantile noise estimates + + // compute direct decision (DD) estimate of prior SNR: needed for new method + satMax = (uint32_t)1048575;// Largest possible value without getting overflow despite shifting 12 steps + postShifts = 6 + qMagn - qNoise; + nShifts = 5 - inst->prevQMagn + inst->prevQNoise; + for (i = 0; i < inst->magnLen; i++) { + // FLOAT: + // post SNR + // postLocSnr[i] = 0.0; + // if (magn[i] > noise[i]) + // { + // postLocSnr[i] = magn[i] / (noise[i] + 0.0001); + // } + // // previous post SNR + // // previous estimate: based on previous frame with gain filter (smooth is previous filter) + // + // prevNearSnr[i] = inst->prevMagnU16[i] / (inst->noisePrev[i] + 0.0001) * (inst->smooth[i]); + // + // // DD estimate is sum of two terms: current estimate and previous estimate + // // directed decision update of priorSnr (or we actually store [2*priorSnr+1]) + // + // priorLocSnr[i] = DD_PR_SNR * prevNearSnr[i] + (1.0 - DD_PR_SNR) * (postLocSnr[i] - 1.0); + + // calculate post SNR: output in Q11 + postLocSnr[i] = 2048; // 1.0 in Q11 + tmpU32no1 = (uint32_t)magnU16[i] << 6; // Q(6+qMagn) + if (postShifts < 0) { + tmpU32no2 = noiseU32[i] >> -postShifts; // Q(6+qMagn) + } else { + tmpU32no2 = noiseU32[i] << postShifts; // Q(6+qMagn) + } + if (tmpU32no1 > tmpU32no2) { + // Current magnitude larger than noise + tmpU32no1 <<= 11; // Q(17+qMagn) + if (tmpU32no2 > 0) { + tmpU32no1 /= tmpU32no2; // Q11 + postLocSnr[i] = WEBRTC_SPL_MIN(satMax, tmpU32no1); // Q11 + } else { + postLocSnr[i] = satMax; + } + } + + // calculate prevNearSnr[i] and save for later instead of recalculating it later + // |nearMagnEst| in Q(prevQMagn + 14) + nearMagnEst = inst->prevMagnU16[i] * inst->noiseSupFilter[i]; + tmpU32no1 = nearMagnEst << 3; // Q(prevQMagn+17) + tmpU32no2 = inst->prevNoiseU32[i] >> nShifts; // Q(prevQMagn+6) + + if (tmpU32no2 > 0) { + tmpU32no1 /= tmpU32no2; // Q11 + tmpU32no1 = WEBRTC_SPL_MIN(satMax, tmpU32no1); // Q11 + } else { + tmpU32no1 = satMax; // Q11 + } + prevNearSnr[i] = tmpU32no1; // Q11 + + //directed decision update of priorSnr + tmpU32no1 = WEBRTC_SPL_UMUL_32_16(prevNearSnr[i], DD_PR_SNR_Q11); // Q22 + tmpU32no2 = WEBRTC_SPL_UMUL_32_16(postLocSnr[i] - 2048, ONE_MINUS_DD_PR_SNR_Q11); // Q22 + priorSnr = tmpU32no1 + tmpU32no2 + 512; // Q22 (added 512 for rounding) + // priorLocSnr = 1 + 2*priorSnr + priorLocSnr[i] = 2048 + (priorSnr >> 10); // Q11 + } // end of loop over frequencies + // done with step 1: DD computation of prior and post SNR + + // STEP 2: compute speech/noise likelihood + + //compute difference of input spectrum with learned/estimated noise spectrum + WebRtcNsx_ComputeSpectralDifference(inst, magnU16); + //compute histograms for determination of parameters (thresholds and weights for features) + //parameters are extracted once every window time (=inst->modelUpdate) + //counter update + inst->cntThresUpdate++; + flag = (int)(inst->cntThresUpdate == inst->modelUpdate); + //update histogram + WebRtcNsx_FeatureParameterExtraction(inst, flag); + //compute model parameters + if (flag) { + inst->cntThresUpdate = 0; // Reset counter + //update every window: + // get normalization for spectral difference for next window estimate + + // Shift to Q(-2*stages) + inst->curAvgMagnEnergy >>= STAT_UPDATES; + + tmpU32no1 = (inst->curAvgMagnEnergy + inst->timeAvgMagnEnergy + 1) >> 1; //Q(-2*stages) + // Update featureSpecDiff + if ((tmpU32no1 != inst->timeAvgMagnEnergy) && (inst->featureSpecDiff) && + (inst->timeAvgMagnEnergy > 0)) { + norm32no1 = 0; + tmpU32no3 = tmpU32no1; + while (0xFFFF0000 & tmpU32no3) { + tmpU32no3 >>= 1; + norm32no1++; + } + tmpU32no2 = inst->featureSpecDiff; + while (0xFFFF0000 & tmpU32no2) { + tmpU32no2 >>= 1; + norm32no1++; + } + tmpU32no3 = WEBRTC_SPL_UMUL(tmpU32no3, tmpU32no2); + tmpU32no3 /= inst->timeAvgMagnEnergy; + if (WebRtcSpl_NormU32(tmpU32no3) < norm32no1) { + inst->featureSpecDiff = 0x007FFFFF; + } else { + inst->featureSpecDiff = WEBRTC_SPL_MIN(0x007FFFFF, + tmpU32no3 << norm32no1); + } + } + + inst->timeAvgMagnEnergy = tmpU32no1; // Q(-2*stages) + inst->curAvgMagnEnergy = 0; + } + + //compute speech/noise probability + WebRtcNsx_SpeechNoiseProb(inst, nonSpeechProbFinal, priorLocSnr, postLocSnr); + + //time-avg parameter for noise update + gammaNoise = NOISE_UPDATE_Q8; // Q8 + + maxNoiseU32 = 0; + postShifts = inst->prevQNoise - qMagn; + nShifts = inst->prevQMagn - qMagn; + for (i = 0; i < inst->magnLen; i++) { + // temporary noise update: use it for speech frames if update value is less than previous + // the formula has been rewritten into: + // noiseUpdate = noisePrev[i] + (1 - gammaNoise) * nonSpeechProb * (magn[i] - noisePrev[i]) + + if (postShifts < 0) { + tmpU32no2 = magnU16[i] >> -postShifts; // Q(prevQNoise) + } else { + tmpU32no2 = (uint32_t)magnU16[i] << postShifts; // Q(prevQNoise) + } + if (prevNoiseU16[i] > tmpU32no2) { + sign = -1; + tmpU32no1 = prevNoiseU16[i] - tmpU32no2; + } else { + sign = 1; + tmpU32no1 = tmpU32no2 - prevNoiseU16[i]; + } + noiseUpdateU32 = inst->prevNoiseU32[i]; // Q(prevQNoise+11) + tmpU32no3 = 0; + if ((tmpU32no1) && (nonSpeechProbFinal[i])) { + // This value will be used later, if gammaNoise changes + tmpU32no3 = WEBRTC_SPL_UMUL_32_16(tmpU32no1, nonSpeechProbFinal[i]); // Q(prevQNoise+8) + if (0x7c000000 & tmpU32no3) { + // Shifting required before multiplication + tmpU32no2 = (tmpU32no3 >> 5) * gammaNoise; // Q(prevQNoise+11) + } else { + // We can do shifting after multiplication + tmpU32no2 = (tmpU32no3 * gammaNoise) >> 5; // Q(prevQNoise+11) + } + if (sign > 0) { + noiseUpdateU32 += tmpU32no2; // Q(prevQNoise+11) + } else { + // This operation is safe. We can never get wrap around, since worst + // case scenario means magnU16 = 0 + noiseUpdateU32 -= tmpU32no2; // Q(prevQNoise+11) + } + } + + //increase gamma (i.e., less noise update) for frame likely to be speech + prevGammaNoise = gammaNoise; + gammaNoise = NOISE_UPDATE_Q8; + //time-constant based on speech/noise state + //increase gamma (i.e., less noise update) for frames likely to be speech + if (nonSpeechProbFinal[i] < ONE_MINUS_PROB_RANGE_Q8) { + gammaNoise = GAMMA_NOISE_TRANS_AND_SPEECH_Q8; + } + + if (prevGammaNoise != gammaNoise) { + // new noise update + // this line is the same as above, only that the result is stored in a different variable and the gammaNoise + // has changed + // + // noiseUpdate = noisePrev[i] + (1 - gammaNoise) * nonSpeechProb * (magn[i] - noisePrev[i]) + + if (0x7c000000 & tmpU32no3) { + // Shifting required before multiplication + tmpU32no2 = (tmpU32no3 >> 5) * gammaNoise; // Q(prevQNoise+11) + } else { + // We can do shifting after multiplication + tmpU32no2 = (tmpU32no3 * gammaNoise) >> 5; // Q(prevQNoise+11) + } + if (sign > 0) { + tmpU32no1 = inst->prevNoiseU32[i] + tmpU32no2; // Q(prevQNoise+11) + } else { + tmpU32no1 = inst->prevNoiseU32[i] - tmpU32no2; // Q(prevQNoise+11) + } + if (noiseUpdateU32 > tmpU32no1) { + noiseUpdateU32 = tmpU32no1; // Q(prevQNoise+11) + } + } + noiseU32[i] = noiseUpdateU32; // Q(prevQNoise+11) + if (noiseUpdateU32 > maxNoiseU32) { + maxNoiseU32 = noiseUpdateU32; + } + + // conservative noise update + // // original FLOAT code + // if (prob_speech < PROB_RANGE) { + // inst->avgMagnPause[i] = inst->avgMagnPause[i] + (1.0 - gamma_pause)*(magn[i] - inst->avgMagnPause[i]); + // } + + tmp32no2 = WEBRTC_SPL_SHIFT_W32(inst->avgMagnPause[i], -nShifts); + if (nonSpeechProbFinal[i] > ONE_MINUS_PROB_RANGE_Q8) { + if (nShifts < 0) { + tmp32no1 = (int32_t)magnU16[i] - tmp32no2; // Q(qMagn) + tmp32no1 *= ONE_MINUS_GAMMA_PAUSE_Q8; // Q(8+prevQMagn+nShifts) + tmp32no1 = (tmp32no1 + 128) >> 8; // Q(qMagn). + } else { + // In Q(qMagn+nShifts) + tmp32no1 = ((int32_t)magnU16[i] << nShifts) - inst->avgMagnPause[i]; + tmp32no1 *= ONE_MINUS_GAMMA_PAUSE_Q8; // Q(8+prevQMagn+nShifts) + tmp32no1 = (tmp32no1 + (128 << nShifts)) >> (8 + nShifts); // Q(qMagn). + } + tmp32no2 += tmp32no1; // Q(qMagn) + } + inst->avgMagnPause[i] = tmp32no2; + } // end of frequency loop + + norm32no1 = WebRtcSpl_NormU32(maxNoiseU32); + qNoise = inst->prevQNoise + norm32no1 - 5; + // done with step 2: noise update + + // STEP 3: compute dd update of prior snr and post snr based on new noise estimate + nShifts = inst->prevQNoise + 11 - qMagn; + for (i = 0; i < inst->magnLen; i++) { + // FLOAT code + // // post and prior SNR + // curNearSnr = 0.0; + // if (magn[i] > noise[i]) + // { + // curNearSnr = magn[i] / (noise[i] + 0.0001) - 1.0; + // } + // // DD estimate is sum of two terms: current estimate and previous estimate + // // directed decision update of snrPrior + // snrPrior = DD_PR_SNR * prevNearSnr[i] + (1.0 - DD_PR_SNR) * curNearSnr; + // // gain filter + // tmpFloat1 = inst->overdrive + snrPrior; + // tmpFloat2 = snrPrior / tmpFloat1; + // theFilter[i] = tmpFloat2; + + // calculate curNearSnr again, this is necessary because a new noise estimate has been made since then. for the original + curNearSnr = 0; // Q11 + if (nShifts < 0) { + // This case is equivalent with magn < noise which implies curNearSnr = 0; + tmpMagnU32 = (uint32_t)magnU16[i]; // Q(qMagn) + tmpNoiseU32 = noiseU32[i] << -nShifts; // Q(qMagn) + } else if (nShifts > 17) { + tmpMagnU32 = (uint32_t)magnU16[i] << 17; // Q(qMagn+17) + tmpNoiseU32 = noiseU32[i] >> (nShifts - 17); // Q(qMagn+17) + } else { + tmpMagnU32 = (uint32_t)magnU16[i] << nShifts; // Q(qNoise_prev+11) + tmpNoiseU32 = noiseU32[i]; // Q(qNoise_prev+11) + } + if (tmpMagnU32 > tmpNoiseU32) { + tmpU32no1 = tmpMagnU32 - tmpNoiseU32; // Q(qCur) + norm32no2 = WEBRTC_SPL_MIN(11, WebRtcSpl_NormU32(tmpU32no1)); + tmpU32no1 <<= norm32no2; // Q(qCur+norm32no2) + tmpU32no2 = tmpNoiseU32 >> (11 - norm32no2); // Q(qCur+norm32no2-11) + if (tmpU32no2 > 0) { + tmpU32no1 /= tmpU32no2; // Q11 + } + curNearSnr = WEBRTC_SPL_MIN(satMax, tmpU32no1); // Q11 + } + + //directed decision update of priorSnr + // FLOAT + // priorSnr = DD_PR_SNR * prevNearSnr + (1.0-DD_PR_SNR) * curNearSnr; + + tmpU32no1 = WEBRTC_SPL_UMUL_32_16(prevNearSnr[i], DD_PR_SNR_Q11); // Q22 + tmpU32no2 = WEBRTC_SPL_UMUL_32_16(curNearSnr, ONE_MINUS_DD_PR_SNR_Q11); // Q22 + priorSnr = tmpU32no1 + tmpU32no2; // Q22 + + //gain filter + tmpU32no1 = inst->overdrive + ((priorSnr + 8192) >> 14); // Q8 + assert(inst->overdrive > 0); + tmpU16no1 = (priorSnr + tmpU32no1 / 2) / tmpU32no1; // Q14 + inst->noiseSupFilter[i] = WEBRTC_SPL_SAT(16384, tmpU16no1, inst->denoiseBound); // 16384 = Q14(1.0) // Q14 + + // Weight in the parametric Wiener filter during startup + if (inst->blockIndex < END_STARTUP_SHORT) { + // Weight the two suppression filters + tmpU32no1 = inst->noiseSupFilter[i] * inst->blockIndex; + tmpU32no2 = noiseSupFilterTmp[i] * + (END_STARTUP_SHORT - inst->blockIndex); + tmpU32no1 += tmpU32no2; + inst->noiseSupFilter[i] = (uint16_t)WebRtcSpl_DivU32U16(tmpU32no1, + END_STARTUP_SHORT); + } + } // end of loop over frequencies + //done with step3 + + // save noise and magnitude spectrum for next frame + inst->prevQNoise = qNoise; + inst->prevQMagn = qMagn; + if (norm32no1 > 5) { + for (i = 0; i < inst->magnLen; i++) { + inst->prevNoiseU32[i] = noiseU32[i] << (norm32no1 - 5); // Q(qNoise+11) + inst->prevMagnU16[i] = magnU16[i]; // Q(qMagn) + } + } else { + for (i = 0; i < inst->magnLen; i++) { + inst->prevNoiseU32[i] = noiseU32[i] >> (5 - norm32no1); // Q(qNoise+11) + inst->prevMagnU16[i] = magnU16[i]; // Q(qMagn) + } + } + + WebRtcNsx_DataSynthesis(inst, outFrame[0]); +#ifdef NS_FILEDEBUG + if (fwrite(outframe, sizeof(short), + inst->blockLen10ms, inst->outfile) != inst->blockLen10ms) { + assert(false); + } +#endif + + //for H band: + // only update data buffer, then apply time-domain gain is applied derived from L band + if (num_bands > 1) { + // update analysis buffer for H band + // append new data to buffer FX + for (i = 0; i < num_high_bands; ++i) { + memcpy(inst->dataBufHBFX[i], inst->dataBufHBFX[i] + inst->blockLen10ms, + (inst->anaLen - inst->blockLen10ms) * sizeof(*inst->dataBufHBFX[i])); + memcpy(inst->dataBufHBFX[i] + inst->anaLen - inst->blockLen10ms, + speechFrameHB[i], inst->blockLen10ms * sizeof(*inst->dataBufHBFX[i])); + } + // range for averaging low band quantities for H band gain + + gainTimeDomainHB = 16384; // 16384 = Q14(1.0) + //average speech prob from low band + //average filter gain from low band + //avg over second half (i.e., 4->8kHz) of freq. spectrum + tmpU32no1 = 0; // Q12 + tmpU16no1 = 0; // Q8 + for (i = inst->anaLen2 - (inst->anaLen2 >> 2); i < inst->anaLen2; i++) { + tmpU16no1 += nonSpeechProbFinal[i]; // Q8 + tmpU32no1 += (uint32_t)(inst->noiseSupFilter[i]); // Q14 + } + assert(inst->stages >= 7); + avgProbSpeechHB = (4096 - (tmpU16no1 >> (inst->stages - 7))); // Q12 + avgFilterGainHB = (int16_t)(tmpU32no1 >> (inst->stages - 3)); // Q14 + + // // original FLOAT code + // // gain based on speech probability: + // avg_prob_speech_tt=(float)2.0*avg_prob_speech-(float)1.0; + // gain_mod=(float)0.5*((float)1.0+(float)tanh(avg_prob_speech_tt)); // between 0 and 1 + + // gain based on speech probability: + // original expression: "0.5 * (1 + tanh(2x-1))" + // avgProbSpeechHB has been anyway saturated to a value between 0 and 1 so the other cases don't have to be dealt with + // avgProbSpeechHB and gainModHB are in Q12, 3607 = Q12(0.880615234375) which is a zero point of + // |0.5 * (1 + tanh(2x-1)) - x| - |0.5 * (1 + tanh(2x-1)) - 0.880615234375| meaning that from that point the error of approximating + // the expression with f(x) = x would be greater than the error of approximating the expression with f(x) = 0.880615234375 + // error: "|0.5 * (1 + tanh(2x-1)) - x| from x=0 to 0.880615234375" -> http://www.wolframalpha.com/input/?i=|0.5+*+(1+%2B+tanh(2x-1))+-+x|+from+x%3D0+to+0.880615234375 + // and: "|0.5 * (1 + tanh(2x-1)) - 0.880615234375| from x=0.880615234375 to 1" -> http://www.wolframalpha.com/input/?i=+|0.5+*+(1+%2B+tanh(2x-1))+-+0.880615234375|+from+x%3D0.880615234375+to+1 + gainModHB = WEBRTC_SPL_MIN(avgProbSpeechHB, 3607); + + // // original FLOAT code + // //combine gain with low band gain + // if (avg_prob_speech < (float)0.5) { + // gain_time_domain_HB=(float)0.5*gain_mod+(float)0.5*avg_filter_gain; + // } + // else { + // gain_time_domain_HB=(float)0.25*gain_mod+(float)0.75*avg_filter_gain; + // } + + + //combine gain with low band gain + if (avgProbSpeechHB < 2048) { + // 2048 = Q12(0.5) + // the next two lines in float are "gain_time_domain = 0.5 * gain_mod + 0.5 * avg_filter_gain"; Q2(0.5) = 2 equals one left shift + gainTimeDomainHB = (gainModHB << 1) + (avgFilterGainHB >> 1); // Q14 + } else { + // "gain_time_domain = 0.25 * gain_mod + 0.75 * agv_filter_gain;" + gainTimeDomainHB = (int16_t)((3 * avgFilterGainHB) >> 2); // 3 = Q2(0.75) + gainTimeDomainHB += gainModHB; // Q14 + } + //make sure gain is within flooring range + gainTimeDomainHB + = WEBRTC_SPL_SAT(16384, gainTimeDomainHB, (int16_t)(inst->denoiseBound)); // 16384 = Q14(1.0) + + + //apply gain + for (i = 0; i < num_high_bands; ++i) { + for (j = 0; j < inst->blockLen10ms; j++) { + outFrameHB[i][j] = (int16_t)((gainTimeDomainHB * + inst->dataBufHBFX[i][j]) >> 14); // Q0 + } + } + } // end of H band gain computation +} |