, including all inherited members.
| adapt_adapt() | Gaussian | |
| adapt_adaptVar() | Gaussian | |
| adapt_clear() | Gaussian | |
| adapt_setHelperMatrices() | Gaussian | |
| adapt_setInitialNode(Adapt_AM_TreeNode *node) | Gaussian | |
| adapt_setNode() | Gaussian | |
| adapt_setVarTrans() | Gaussian | |
| adapt_unAdapt() | Gaussian | |
| addAccumulators(FILE *file) | Gaussian | |
| appendSAT(FILE *outFile) | Gaussian | |
| audioFile | FeatureExtraction | [protected] |
| audioFileOut | FeatureExtraction | [protected] |
| calculateCP() | Gaussian | [protected] |
| calculateDelta(int time, int offset) | FeatureExtraction | [protected] |
| CEP_LIFTER | FeatureExtraction | [protected] |
| cepLifterFact | FeatureExtraction | [protected] |
| CP | Gaussian | [protected] |
| createFeaturesUntilFrame(int lastFrame, int normID=0) | FeatureExtraction | |
| createMfccFrame(int normID, int spectralSubtraction=-1) | FeatureExtraction | [protected] |
| dim() const | Gaussian | [inline] |
| doCMN | FeatureExtraction | [protected] |
| doCVN | FeatureExtraction | [protected] |
| doFeatureExtraction(const char *audioIn, const char *audioOut, bool onlyPrepare=false) | FeatureExtraction | |
| doSqrt10 | FeatureExtraction | [protected] |
| enterTrainingMode(bool mmiTraining=false) | Gaussian | [protected] |
| fea_delta_noemer | FeatureExtraction | [protected] |
| FeatureExtraction(const char *audioIn, const char *audioOut, int mfccSize, int useEnergy, int useZeroCross, int useDeltas, double vtln, bool useSqrt10=false, bool offs=false, bool onlyPrepare=false, bool onlyMEL=false, bool pCTS=false) | FeatureExtraction | |
| featureVector | FeatureExtraction | [protected] |
| fftProc | FeatureExtraction | [protected] |
| fftWindowSpectralSubtract | FeatureExtraction | [protected] |
| finishClusterCMVN() | FeatureExtraction | |
| finishExtraction() | FeatureExtraction | |
| Gaussian(int dim=ASR_DEFAULT_VECTORSIZE) | Gaussian | |
| Gaussian(Gaussian *copyFrom, bool shiftGaussian=true) | Gaussian | |
| Gaussian(Gaussian *model1, Gaussian *model2, double rate) | Gaussian | |
| Gaussian(FILE *inFile, int dim) | Gaussian | |
| gaussianization | FeatureExtraction | [protected] |
| getCoSim(Gaussian *g1, Gaussian *g2) | Gaussian | |
| getCP() const | Gaussian | [inline] |
| getKLDistance(Gaussian *g2) | Gaussian | |
| getLogP(Vector *observation) | Gaussian | [virtual] |
| getMean() const | Gaussian | [inline] |
| getNormDistance() | Gaussian | |
| getNrTrainingSamples() const | Gaussian | [inline] |
| getOnlineVector(double *silThreshold, bool isSil) | FeatureExtraction | |
| getP(Vector *observation) | Gaussian | [virtual] |
| getPool() const | FeatureExtraction | [inline] |
| getPoolSize() const | FeatureExtraction | [inline] |
| getTrainingDenominator(void) | Gaussian | |
| getVariance() const | Gaussian | [inline] |
| getVectorSize() const | FeatureExtraction | [inline] |
| hammingTemplate | FeatureExtraction | [protected] |
| helper_meanJKProd | Gaussian | [protected] |
| initializeHistNorm() | FeatureExtraction | |
| inverseHistogram | FeatureExtraction | |
| mapAdaptMean() | Gaussian | |
| meanVector | Gaussian | [protected] |
| MEL_BANKLENGTH | FeatureExtraction | [protected] |
| melIndexAboveCTS | FeatureExtraction | [protected] |
| melTemplate | FeatureExtraction | [protected] |
| mfccSize | FeatureExtraction | [protected] |
| mmi_trainPars | Gaussian | [protected] |
| moveModel(Gaussian *model, double factor) | Gaussian | |
| nonDeltaSize | FeatureExtraction | [protected] |
| normData | FeatureExtraction | [protected] |
| normType | FeatureExtraction | [protected] |
| nrFrames | FeatureExtraction | [protected] |
| nrNormClusters | FeatureExtraction | [protected] |
| numberOfFeaturesProcessed | FeatureExtraction | [protected] |
| offset | FeatureExtraction | [protected] |
| onlyMEL | FeatureExtraction | [protected] |
| performClusterCMVNUntilFrame(int lastFrame, int cmvnID) | FeatureExtraction | |
| performCTS | FeatureExtraction | [protected] |
| performHistNormUntilFrame(int lastFrame, int histID) | FeatureExtraction | |
| performPCA(Vector **pca, int len) | FeatureExtraction | |
| printGaussian(void) | Gaussian | |
| printInfo(Vector *v) | Gaussian | |
| printModel(FILE *fileMean, FILE *fileVariance) | Gaussian | |
| readAudioWindow(short int *audioWindow) | FeatureExtraction | [protected] |
| rememberBuffer | FeatureExtraction | [protected] |
| setAudioFileOut(const char *fileName) | FeatureExtraction | |
| setBackgroundHistNorm(Vector **hist, int numBins) | FeatureExtraction | |
| setHistNormModel(int normID, Vector **h) | FeatureExtraction | |
| setMean(Vector *v) | Gaussian | |
| setNormalization(FEATURENORM_TYPE normT, int nrClusters, bool doMean, bool doVar, Vector **hist) | FeatureExtraction | |
| setOnlyMEL() | FeatureExtraction | |
| setVariance(const Vector *v) | Gaussian | |
| setVTLN(double vtln) | FeatureExtraction | |
| shiftMean(int shiftFactor=1) | Gaussian | |
| storeData(FILE *outFile) | Gaussian | |
| storeFeatureVectors(FILE *file) | FeatureExtraction | |
| storeSAT(FILE *outFile) | Gaussian | |
| train(Gaussian *trainG) | Gaussian | |
| train(double factor, Vector *observation, Gaussian *doSat=NULL) | Gaussian | |
| trainFinish(bool cleanUp=true, double minVar=GAUSSIAN_VARIANCE_MINIMUM) | Gaussian | |
| trainMMI(FILE *fileEnum, FILE *fileDenom) | Gaussian | |
| trainPars | Gaussian | [protected] |
| useDeltas | FeatureExtraction | [protected] |
| useEnergy | FeatureExtraction | [protected] |
| useZeroCross | FeatureExtraction | [protected] |
| varianceVector | Gaussian | [protected] |
| vectorSize | FeatureExtraction | [protected] |
| writeAccumulators(FILE *file, FILE *fileF=NULL, FILE *fileST=NULL, bool doBinary=false) | Gaussian | |
| ~FeatureExtraction() | FeatureExtraction | |
| ~Gaussian() | Gaussian | |