* 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 dataBuf[ANAL_BLOCKL_MAX];
- float syntBuf[ANAL_BLOCKL_MAX];
- float outBuf[3 * BLOCKL_MAX];
-
- int initFlag;
+ 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;
// 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 previousEstimateStsa[HALF_ANAL_BLOCKL];
+ 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 speechProbHB[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
+ float parametricNoise[HALF_ANAL_BLOCKL];
+ 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
*
* 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
int WebRtcNs_set_policy_core(NSinst_t* inst, int mode);
/****************************************************************************
+ * WebRtcNs_AnalyzeCore
+ *
+ * Estimate the background noise.
+ *
+ * Input:
+ * - inst : Instance that should be initialized
+ * - speechFrame : Input speech frame for lower band
+ *
+ * Output:
+ * - inst : Updated instance
+ *
+ * Return value : 0 - OK
+ * -1 - Error
+ */
+int WebRtcNs_AnalyzeCore(NSinst_t* inst, float* speechFrame);
+
+/****************************************************************************
* WebRtcNs_ProcessCore
*
* Do noise suppression.
* Return value : 0 - OK
* -1 - Error
*/
-
-
int WebRtcNs_ProcessCore(NSinst_t* inst,
float* inFrameLow,
float* inFrameHigh,
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_
projects / platform / framework / web / crosswalk.git / blobdiff