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Clang-format ns_core

Browse Source 
BUG=webrtc:3811
R=bjornv@webrtc.org, kwiberg@webrtc.org

Review URL: https://webrtc-codereview.appspot.com/29539004

git-svn-id: http://webrtc.googlecode.com/svn/trunk@7257 4adac7df-926f-26a2-2b94-8c16560cd09d
This commit is contained in:
aluebs@webrtc.org
2014-09-22 10:59:46 +00:00
parent 759982d357
commit bdfdc96b22
2 changed files with 401 additions and 334 deletions
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601
webrtc/modules/audio_processing/ns/ns_core.c
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134
webrtc/modules/audio_processing/ns/ns_core.h
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@ -8,107 +8,106 @@
* be found in the AUTHORS file in the root of the source tree.
*/
#ifndef WEBRTC_MODULES_AUDIO_PROCESSING_NS_MAIN_SOURCE_NS_CORE_H_
#define WEBRTC_MODULES_AUDIO_PROCESSING_NS_MAIN_SOURCE_NS_CORE_H_
#ifndef WEBRTC_MODULES_AUDIO_PROCESSING_NS_NS_CORE_H_
#define WEBRTC_MODULES_AUDIO_PROCESSING_NS_NS_CORE_H_
#include "webrtc/modules/audio_processing/ns/defines.h"
typedef struct NSParaExtract_t_ {
//bin size of histogram
// bin size of histogram
float binSizeLrt;
float binSizeSpecFlat;
float binSizeSpecDiff;
//range of histogram over which lrt threshold is computed
// range of histogram over which lrt threshold is computed
float rangeAvgHistLrt;
//scale parameters: multiply dominant peaks of the histograms by scale factor to obtain
//thresholds for prior model
float factor1ModelPars; //for lrt and spectral difference
float factor2ModelPars; //for spectral_flatness: used when noise is flatter than speech
//peak limit for spectral flatness (varies between 0 and 1)
// scale parameters: multiply dominant peaks of the histograms by scale factor
// to obtain thresholds for prior model
float factor1ModelPars; // for lrt and spectral difference
float factor2ModelPars; // for spectral_flatness: used when noise is flatter
// than speech
// peak limit for spectral flatness (varies between 0 and 1)
float thresPosSpecFlat;
//limit on spacing of two highest peaks in histogram: spacing determined by bin size
// limit on spacing of two highest peaks in histogram: spacing determined by
// bin size
float limitPeakSpacingSpecFlat;
float limitPeakSpacingSpecDiff;
//limit on relevance of second peak:
// limit on relevance of second peak:
float limitPeakWeightsSpecFlat;
float limitPeakWeightsSpecDiff;
//limit on fluctuation of lrt feature
// limit on fluctuation of lrt feature
float thresFluctLrt;
//limit on the max and min values for the feature thresholds
// limit on the max and min values for the feature thresholds
float maxLrt;
float minLrt;
float maxSpecFlat;
float minSpecFlat;
float maxSpecDiff;
float minSpecDiff;
//criteria of weight of histogram peak to accept/reject feature
// criteria of weight of histogram peak to accept/reject feature
int thresWeightSpecFlat;
int thresWeightSpecDiff;
} NSParaExtract_t;
typedef struct NSinst_t_ {
uint32_t fs;
int blockLen;
int blockLen10ms;
int windShift;
int outLen;
int anaLen;
int magnLen;
int aggrMode;
const float* window;
float analyzeBuf[ANAL_BLOCKL_MAX];
float dataBuf[ANAL_BLOCKL_MAX];
float syntBuf[ANAL_BLOCKL_MAX];
float outBuf[3 * BLOCKL_MAX];
uint32_t fs;
int blockLen;
int blockLen10ms;
int windShift;
int outLen;
int anaLen;
int magnLen;
int aggrMode;
const float* window;
float analyzeBuf[ANAL_BLOCKL_MAX];
float dataBuf[ANAL_BLOCKL_MAX];
float syntBuf[ANAL_BLOCKL_MAX];
float outBuf[3 * BLOCKL_MAX];
int initFlag;
int initFlag;
// parameters for quantile noise estimation
float density[SIMULT* HALF_ANAL_BLOCKL];
float lquantile[SIMULT* HALF_ANAL_BLOCKL];
float quantile[HALF_ANAL_BLOCKL];
int counter[SIMULT];
int updates;
float density[SIMULT * HALF_ANAL_BLOCKL];
float lquantile[SIMULT * HALF_ANAL_BLOCKL];
float quantile[HALF_ANAL_BLOCKL];
int counter[SIMULT];
int updates;
// parameters for Wiener filter
float smooth[HALF_ANAL_BLOCKL];
float overdrive;
float denoiseBound;
int gainmap;
float smooth[HALF_ANAL_BLOCKL];
float overdrive;
float denoiseBound;
int gainmap;
// fft work arrays.
int ip[IP_LENGTH];
float wfft[W_LENGTH];
int ip[IP_LENGTH];
float wfft[W_LENGTH];
// parameters for new method: some not needed, will reduce/cleanup later
int32_t blockInd; //frame index counter
int modelUpdatePars[4]; //parameters for updating or estimating
int32_t blockInd; // frame index counter
int modelUpdatePars[4]; // parameters for updating or estimating
// thresholds/weights for prior model
float priorModelPars[7]; //parameters for prior model
float noisePrev[HALF_ANAL_BLOCKL]; //noise spectrum from previous frame
float magnPrev[HALF_ANAL_BLOCKL]; //magnitude spectrum of previous frame
float logLrtTimeAvg[HALF_ANAL_BLOCKL]; //log lrt factor with time-smoothing
float priorSpeechProb; //prior speech/noise probability
float featureData[7]; //data for features
float magnAvgPause[HALF_ANAL_BLOCKL]; //conservative noise spectrum estimate
float signalEnergy; //energy of magn
float sumMagn; //sum of magn
float whiteNoiseLevel; //initial noise estimate
float initMagnEst[HALF_ANAL_BLOCKL]; //initial magnitude spectrum estimate
float pinkNoiseNumerator; //pink noise parameter: numerator
float pinkNoiseExp; //pink noise parameter: power of freq
NSParaExtract_t featureExtractionParams; //parameters for feature extraction
//histograms for parameter estimation
int histLrt[HIST_PAR_EST];
int histSpecFlat[HIST_PAR_EST];
int histSpecDiff[HIST_PAR_EST];
//quantities for high band estimate
float speechProb[HALF_ANAL_BLOCKL]; //final speech/noise prob: prior + LRT
float dataBufHB[ANAL_BLOCKL_MAX]; //buffering data for HB
float priorModelPars[7]; // parameters for prior model
float noisePrev[HALF_ANAL_BLOCKL]; // noise spectrum from previous frame
float magnPrev[HALF_ANAL_BLOCKL]; // magnitude spectrum of previous frame
float logLrtTimeAvg[HALF_ANAL_BLOCKL]; // log lrt factor with time-smoothing
float priorSpeechProb; // prior speech/noise probability
float featureData[7]; // data for features
float magnAvgPause[HALF_ANAL_BLOCKL]; // conservative noise spectrum estimate
float signalEnergy; // energy of magn
float sumMagn; // sum of magn
float whiteNoiseLevel; // initial noise estimate
float initMagnEst[HALF_ANAL_BLOCKL]; // initial magnitude spectrum estimate
float pinkNoiseNumerator; // pink noise parameter: numerator
float pinkNoiseExp; // pink noise parameter: power of freq
NSParaExtract_t featureExtractionParams; // parameters for feature extraction
// histograms for parameter estimation
int histLrt[HIST_PAR_EST];
int histSpecFlat[HIST_PAR_EST];
int histSpecDiff[HIST_PAR_EST];
// quantities for high band estimate
float speechProb[HALF_ANAL_BLOCKL]; // final speech/noise prob: prior + LRT
float dataBufHB[ANAL_BLOCKL_MAX]; // buffering data for HB
} NSinst_t;
#ifdef __cplusplus
extern "C" {
#endif
@ -137,7 +136,7 @@ int WebRtcNs_InitCore(NSinst_t* inst, uint32_t fs);
*
* Input:
* - inst : Instance that should be initialized
* - mode : 0: Mild (6 dB), 1: Medium (10 dB), 2: Aggressive (15 dB)
* - mode : 0: Mild (6dB), 1: Medium (10dB), 2: Aggressive (15dB)
*
* Output:
* - NS_inst : Initialized instance
@ -188,8 +187,7 @@ int WebRtcNs_ProcessCore(NSinst_t* inst,
float* outFrameLow,
float* outFrameHigh);
#ifdef __cplusplus
}
#endif
#endif // WEBRTC_MODULES_AUDIO_PROCESSING_NS_MAIN_SOURCE_NS_CORE_H_
#endif // WEBRTC_MODULES_AUDIO_PROCESSING_NS_NS_CORE_H_