Gaussian Member List
This is the complete list of members for
Gaussian, 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 | |
calculateCP() | Gaussian | [protected] |
CP | Gaussian | [protected] |
dim() const | Gaussian | [inline] |
enterTrainingMode(bool mmiTraining=false) | Gaussian | [protected] |
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 | |
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] |
getP(Vector *observation) | Gaussian | [virtual] |
getTrainingDenominator(void) | Gaussian | |
getVariance() const | Gaussian | [inline] |
helper_meanJKProd | Gaussian | [protected] |
mapAdaptMean() | Gaussian | |
meanVector | Gaussian | [protected] |
mmi_trainPars | Gaussian | [protected] |
moveModel(Gaussian *model, double factor) | Gaussian | |
printGaussian(void) | Gaussian | |
printInfo(Vector *v) | Gaussian | |
printModel(FILE *fileMean, FILE *fileVariance) | Gaussian | |
setMean(Vector *v) | Gaussian | |
setVariance(const Vector *v) | Gaussian | |
shiftMean(int shiftFactor=1) | Gaussian | |
storeData(FILE *outFile) | Gaussian | |
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] |
varianceVector | Gaussian | [protected] |
writeAccumulators(FILE *file, FILE *fileF=NULL, FILE *fileST=NULL, bool doBinary=false) | Gaussian | |
~Gaussian() | Gaussian | |