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Make all comments whole sentences in ns_core

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This is done to make the code more readable.
It generates bit-exact output.

BUG=webrtc:3811
R=bjornv@webrtc.org

Review URL: https://webrtc-codereview.appspot.com/23199004

git-svn-id: http://webrtc.googlecode.com/svn/trunk@7547 4adac7df-926f-26a2-2b94-8c16560cd09d
This commit is contained in:
aluebs@webrtc.org 2014-10-28 20:56:53 +00:00
parent bd6bdca57f
commit 28b54671cb
2 changed files with 292 additions and 302 deletions
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510
webrtc/modules/audio_processing/ns/ns_core.c
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84
webrtc/modules/audio_processing/ns/ns_core.h
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@ -14,36 +14,36 @@
#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;
@ -62,51 +62,53 @@ typedef struct NSinst_t_ {
float syntBuf[ANAL_BLOCKL_MAX];
int initFlag;
// parameters for quantile noise estimation
// 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;
// parameters for Wiener filter
// Parameters for Wiener filter.
float smooth[HALF_ANAL_BLOCKL];
float overdrive;
float denoiseBound;
int gainmap;
// fft work arrays.
// FFT work arrays.
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
// thresholds/weights for prior model
float priorModelPars[7]; // parameters for prior model
float noise[HALF_ANAL_BLOCKL]; // noise spectrum from current frame
float noisePrev[HALF_ANAL_BLOCKL]; // noise spectrum from previous frame
// magnitude spectrum of previous analyze frame
// 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.
// Thresholds/weights for prior model.
float priorModelPars[7]; // Parameters for prior model.
float noise[HALF_ANAL_BLOCKL]; // Noise spectrum from current frame.
float noisePrev[HALF_ANAL_BLOCKL]; // Noise spectrum from previous frame.
// Magnitude spectrum of previous analyze frame.
float magnPrevAnalyze[HALF_ANAL_BLOCKL];
// magnitude spectrum of previous process frame
// Magnitude spectrum of previous process frame.
float magnPrevProcess[HALF_ANAL_BLOCKL];
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
float logLrtTimeAvg[HALF_ANAL_BLOCKL]; // Log LRT factor with time-smoothing.
float priorSpeechProb; // Prior speech/noise probability.
float featureData[7];
// Conservative noise spectrum estimate.
float magnAvgPause[HALF_ANAL_BLOCKL];
float signalEnergy; // Energy of |magn|.
float sumMagn;
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 frequencies.
float parametricNoise[HALF_ANAL_BLOCKL];
NSParaExtract_t featureExtractionParams; // parameters for feature extraction
// histograms for parameter estimation
// Parameters for feature extraction.
NSParaExtract_t featureExtractionParams;
// 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
// 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;