Uses of Class
marytts.signalproc.adaptation.BaselineParams

Packages that use BaselineParams

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.outlier	Outlier elimination algorithms for voice conversion.
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.

Uses of BaselineParams in marytts.signalproc.adaptation

Subclasses of BaselineParams in marytts.signalproc.adaptation

Modifier and Type	Class and Description
class	BaselineTrainerParams
class	BaselineTransformerParams Baseline class for voice conversion transformation parameters All specific implementations of transformation stage of a given voice conversion algorithm should use a parameter set that is derived from this class

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

Modifier and Type	Method and Description
void	BaselineFeatureExtractor.run(BaselineAdaptationSet fileSet, BaselineParams params, int desiredFeatures)

Constructors in marytts.signalproc.adaptation with parameters of type BaselineParams

Constructor and Description
BaselineParams(BaselineParams existing)

Uses of BaselineParams in marytts.signalproc.adaptation.codebook

Subclasses of BaselineParams in marytts.signalproc.adaptation.codebook

Modifier and Type	Class and Description
class	WeightedCodebookTrainerParams Parameters of weighted codebook training
class	WeightedCodebookTransformerParams Parameters of weighted codebook based transformation

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

Subclasses of BaselineParams in marytts.signalproc.adaptation.gmm.jointgmm

Modifier and Type	Class and Description
class	JointGMMTrainerParams Parameters for joint-GMM based voice conversion training
class	JointGMMTransformerParams Parameters for joint-GMM based voice conversion transformation stage

Uses of BaselineParams in marytts.signalproc.adaptation.outlier

Subclasses of BaselineParams in marytts.signalproc.adaptation.outlier

Modifier and Type	Class and Description
class	BaselineOutlierEliminatorParams Baseline class for outlier elimination parameters
class	GaussianOutlierEliminatorParams Parameters for single Gaussian based outlier elimination
class	KMeansMappingEliminatorParams This class implements a K-Means clustering and mapping based outlier elimination procedure: - Step1: Cluster source and target acoustic features either jointly or separately - Step2: For each feature, for each source cluster find the most likely target cluster - Step3: For each feature, for each target cluster find the most likely source cluster - Step4: Determine outlier pairs by checking the total number of source-target pairs assigned to clusters other than the most likely cluster which are sufficiently "distant" from the most likely cluster

Uses of BaselineParams in marytts.signalproc.adaptation.prosody

Subclasses of BaselineParams in marytts.signalproc.adaptation.prosody

Modifier and Type	Class and Description
class	ProsodyTransformerParams Parameters for prosody transformation.