Uses of Class
marytts.signalproc.adaptation.outlier.BaselineOutlierEliminatorParams

Packages that use BaselineOutlierEliminatorParams

Package	Description
marytts.signalproc.adaptation.outlier	Outlier elimination algorithms for voice conversion.

Uses of BaselineOutlierEliminatorParams in marytts.signalproc.adaptation.outlier

Subclasses of BaselineOutlierEliminatorParams in marytts.signalproc.adaptation.outlier

Modifier and Type	Class and Description
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

Constructors in marytts.signalproc.adaptation.outlier with parameters of type BaselineOutlierEliminatorParams

Constructor and Description
BaselineOutlierEliminatorParams(BaselineOutlierEliminatorParams existing)