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/*
* Copyright (c) 2011 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.
*/
/*
* This header file includes the descriptions of the core VAD calls.
*/
#ifndef WEBRTC_VAD_CORE_H_
#define WEBRTC_VAD_CORE_H_
#include "typedefs.h"
#include "vad_defines.h"
typedef struct VadInstT_
{
WebRtc_Word16 vad;
WebRtc_Word32 downsampling_filter_states[4];
WebRtc_Word16 noise_means[NUM_TABLE_VALUES];
WebRtc_Word16 speech_means[NUM_TABLE_VALUES];
WebRtc_Word16 noise_stds[NUM_TABLE_VALUES];
WebRtc_Word16 speech_stds[NUM_TABLE_VALUES];
WebRtc_Word32 frame_counter;
WebRtc_Word16 over_hang; // Over Hang
WebRtc_Word16 num_of_speech;
WebRtc_Word16 index_vector[16 * NUM_CHANNELS];
WebRtc_Word16 low_value_vector[16 * NUM_CHANNELS];
WebRtc_Word16 mean_value[NUM_CHANNELS];
WebRtc_Word16 upper_state[5];
WebRtc_Word16 lower_state[5];
WebRtc_Word16 hp_filter_state[4];
WebRtc_Word16 over_hang_max_1[3];
WebRtc_Word16 over_hang_max_2[3];
WebRtc_Word16 individual[3];
WebRtc_Word16 total[3];
short init_flag;
} VadInstT;
/****************************************************************************
* WebRtcVad_InitCore(...)
*
* This function initializes a VAD instance
*
* Input:
* - inst : Instance that should be initialized
* - mode : Aggressiveness degree
* 0 (High quality) - 3 (Highly aggressive)
*
* Output:
* - inst : Initialized instance
*
* Return value : 0 - Ok
* -1 - Error
*/
int WebRtcVad_InitCore(VadInstT* inst, short mode);
/****************************************************************************
* WebRtcVad_set_mode_core(...)
*
* This function changes the VAD settings
*
* Input:
* - inst : VAD instance
* - mode : Aggressiveness degree
* 0 (High quality) - 3 (Highly aggressive)
*
* Output:
* - inst : Changed instance
*
* Return value : 0 - Ok
* -1 - Error
*/
int WebRtcVad_set_mode_core(VadInstT* inst, short mode);
/****************************************************************************
* WebRtcVad_CalcVad32khz(...)
* WebRtcVad_CalcVad16khz(...)
* WebRtcVad_CalcVad8khz(...)
*
* Calculate probability for active speech and make VAD decision.
*
* Input:
* - inst : Instance that should be initialized
* - speech_frame : Input speech frame
* - frame_length : Number of input samples
*
* Output:
* - inst : Updated filter states etc.
*
* Return value : VAD decision
* 0 - No active speech
* 1-6 - Active speech
*/
WebRtc_Word16 WebRtcVad_CalcVad32khz(VadInstT* inst, WebRtc_Word16* speech_frame,
int frame_length);
WebRtc_Word16 WebRtcVad_CalcVad16khz(VadInstT* inst, WebRtc_Word16* speech_frame,
int frame_length);
WebRtc_Word16 WebRtcVad_CalcVad8khz(VadInstT* inst, WebRtc_Word16* speech_frame,
int frame_length);
/****************************************************************************
* WebRtcVad_GmmProbability(...)
*
* This function calculates the probabilities for background noise and
* speech using Gaussian Mixture Models. A hypothesis-test is performed to decide
* which type of signal is most probable.
*
* Input:
* - inst : Pointer to VAD instance
* - feature_vector : Feature vector = log10(energy in frequency band)
* - total_power : Total power in frame.
* - frame_length : Number of input samples
*
* Output:
* VAD decision : 0 - noise, 1 - speech
*
*/
WebRtc_Word16 WebRtcVad_GmmProbability(VadInstT* inst, WebRtc_Word16* feature_vector,
WebRtc_Word16 total_power, int frame_length);
#endif // WEBRTC_VAD_CORE_H_
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