Uses of Class
marytts.signalproc.adaptation.BaselineAdaptationSet

Packages that use BaselineAdaptationSet

Package	Description
marytts.signalproc.adaptation	Packages for speaking style and speaker identity adaptation in Mary TTS supporting various voice conversion algorithms.
marytts.signalproc.adaptation.codebook	Weighted codebook based voice conversion algorithms.
marytts.signalproc.adaptation.gmm.jointgmm	Joint source-target Gaussian Mixture Model based voice conversion algorithms.
marytts.signalproc.adaptation.prosody	Prosody transformation algorithms for voice conversion. A prosody modification framework has been implemented which supports: Mean and standard deviation transformation of f0 Sentence slope transformation Mean and standard deviation transformation is the best method so far. Duration and energy transformation have not yet been implemented.
marytts.signalproc.analysis.distance	A collection of popular distance measures in speech processing.

Uses of BaselineAdaptationSet in marytts.signalproc.adaptation

Methods in marytts.signalproc.adaptation with parameters of type BaselineAdaptationSet

Modifier and Type	Method and Description
static void	BaselineFeatureExtractor.checkMfccFiles(BaselineAdaptationSet fileSet, MfccFileHeader mfccParams, boolean isForcedAnalysis)
static void	BaselineFeatureExtractor.energyAnalysis(BaselineAdaptationSet fileSet, EnergyFileHeader energyParams, boolean isForcedAnalysis)
static void	BaselineFeatureExtractor.f0Analysis(BaselineAdaptationSet fileSet, PitchFileHeader ptcParams, boolean isForcedAnalysis)
int[]	BaselineTrainer.getIndexedMapping(BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet)
static void	BaselineFeatureExtractor.lsfAnalysis(BaselineAdaptationSet fileSet, LsfFileHeader lsfParams, boolean isForcedAnalysis)
void	BaselinePreprocessor.run(BaselineAdaptationSet trainingSet)
void	BaselinePostprocessor.run(BaselineAdaptationSet trainingSet)
void	BaselineFeatureExtractor.run(BaselineAdaptationSet fileSet, BaselineParams params, int desiredFeatures)
void	BaselineTransformer.transform(BaselineAdaptationSet inputSet, BaselineAdaptationSet outputSet)

Uses of BaselineAdaptationSet in marytts.signalproc.adaptation.codebook

Methods in marytts.signalproc.adaptation.codebook that return BaselineAdaptationSet

Modifier and Type	Method and Description
BaselineAdaptationSet	WeightedCodebookTransformer.getInputSet(String inputFolder)
BaselineAdaptationSet	WeightedCodebookTransformer.getOutputSet(BaselineAdaptationSet inputSet, String outputFolder)

Methods in marytts.signalproc.adaptation.codebook with parameters of type BaselineAdaptationSet

Modifier and Type	Method and Description
WeightedCodebookFeatureCollection	WeightedCodebookTrainer.collectFeatures(BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookTrainer.deleteTemporaryFiles(WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet)
BaselineAdaptationSet	WeightedCodebookTransformer.getOutputSet(BaselineAdaptationSet inputSet, String outputFolder)
void	WeightedCodebookTrainer.learnMapping(BaselineFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookTrainer.learnMapping(WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookMfccMapper.learnMappingFrameGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookLsfMapper.learnMappingFrameGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
abstract void	WeightedCodebookFeatureMapper.learnMappingFrameGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookMfccMapper.learnMappingFrames(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookLsfMapper.learnMappingFrames(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
abstract void	WeightedCodebookFeatureMapper.learnMappingFrames(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookMfccMapper.learnMappingLabelGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookLsfMapper.learnMappingLabelGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
abstract void	WeightedCodebookFeatureMapper.learnMappingLabelGroups(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookMfccMapper.learnMappingLabels(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookLsfMapper.learnMappingLabels(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
abstract void	WeightedCodebookFeatureMapper.learnMappingLabels(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookMfccMapper.learnMappingSpeech(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookLsfMapper.learnMappingSpeech(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
abstract void	WeightedCodebookFeatureMapper.learnMappingSpeech(WeightedCodebookFile codebookFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookParallelTrainer.train(BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet)
void	WeightedCodebookTrainer.train(BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)
void	WeightedCodebookParallelTransformer.transform(BaselineAdaptationSet inputSet, BaselineAdaptationSet outputSet)

Uses of BaselineAdaptationSet in marytts.signalproc.adaptation.gmm.jointgmm

Methods in marytts.signalproc.adaptation.gmm.jointgmm that return BaselineAdaptationSet

Modifier and Type	Method and Description
BaselineAdaptationSet	JointGMMTransformer.getInputSet(String inputFolder)
BaselineAdaptationSet	JointGMMTransformer.getOutputSet(BaselineAdaptationSet inputSet, String outputFolder)

Methods in marytts.signalproc.adaptation.gmm.jointgmm with parameters of type BaselineAdaptationSet

Modifier and Type	Method and Description
BaselineAdaptationSet	JointGMMTransformer.getOutputSet(BaselineAdaptationSet inputSet, String outputFolder)
void	JointGMMTransformer.transform(BaselineAdaptationSet inputSet, BaselineAdaptationSet outputSet)

Uses of BaselineAdaptationSet in marytts.signalproc.adaptation.prosody

Methods in marytts.signalproc.adaptation.prosody with parameters of type BaselineAdaptationSet

Modifier and Type	Method and Description
void	PitchTrainer.getStatistics(PitchMappingFile pitchMappingFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet trainingSet, boolean isSource, int[] map, int statisticsType)
void	PitchTrainer.learnMapping(PitchMappingFile pitchMappingFile, WeightedCodebookFeatureCollection fcol, BaselineAdaptationSet sourceTrainingSet, BaselineAdaptationSet targetTrainingSet, int[] map)

Uses of BaselineAdaptationSet in marytts.signalproc.analysis.distance

Methods in marytts.signalproc.analysis.distance with parameters of type BaselineAdaptationSet

Modifier and Type	Method and Description
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2)
double[]	RmsLsfDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, boolean isBark, double upperFreqInHz)
double[]	RmsLsfDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, boolean isBark, double upperFreqInHz, int[] map)
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, double winSizeInSeconds)
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, double winSizeInSeconds, double skipSizeInSeconds)
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, double winSizeInSeconds, double skipSizeInSeconds, int fftSize)
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, double winSizeInSeconds, double skipSizeInSeconds, int fftSize, int lpOrder)
double[]	BaselineLPSpectralEnvelopeDistortionComputer.getDistances(BaselineAdaptationSet set1, BaselineAdaptationSet set2, double winSizeInSeconds, double skipSizeInSeconds, int fftSize, int lpOrder, int[] map)
double[][]	RmsLsfDistortionComputer.getDistancesPerFile(BaselineAdaptationSet set1, BaselineAdaptationSet set2, boolean isBark, double upperFreqInHz, int[] map) Compute the distances per file