Package 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.

See: Description

Class Summary

Class	Description
BasicProsodyModifierParams	A basic class that contains prosody modification information and corresponding time instants
DurationTrainer
DurationTransformer
EnergyTrainer
EnergyTransformer
PitchEntry
PitchMapping	A class to support pitch transformation in voice conversion.
PitchMappingFile
PitchMappingFileHeader
PitchStatistics	Pitch statistics (could be for all recordings, for a group of recordings or even for a single utterance): - Mean of (voiced) f0s - Standard deviation of (voiced) f0s - Global minimum of f0s - Global maximum of f0s - Average tilt of f0 contours, or tilt of single contour
PitchStatisticsCollection	A collection of PitchStatistics.
PitchStatisticsMapping
PitchTrainer
PitchTransformationData
PitchTransformer
ProsodyTrainer
ProsodyTransformer
ProsodyTransformerParams	Parameters for prosody transformation.

Package marytts.signalproc.adaptation.prosody Description

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.