Package | Description |
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marytts.signalproc.adaptation.gmm.jointgmm |
Joint source-target Gaussian Mixture Model based voice conversion algorithms.
|
marytts.signalproc.analysis |
A collection of analysis algorithms for signal processing.
Important classes are as follows: LpcAnalyser: Linear prediction analysis using autocorrelation appraoch and Durbin recursion LsfAnalyser: Computation of line spectral frequencies (LSFs, or line spectral pairs - LSPs) based on LpcAnalyser EnergyAnalyser: Energy contour estimation with voice activity detection support F0TrackerAutocorrelationHeuristic: An autocorrelation based f0 analysis algorithm extended with heuristic post-processing to reduce voiced/unvoiced errors and f0 doubling/halving problems. |
Modifier and Type | Field and Description |
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FeatureFileHeader |
JointGMM.featureParams |
Constructor and Description |
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JointGMM(GMM gmm,
FeatureFileHeader featureParamsIn) |
Modifier and Type | Class and Description |
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class |
LsfFileHeader
Implements a structured header with file I/O functionality for binary files that store frame based line spectral frequency
vectors
|
class |
MfccFileHeader
Implements a structured header with file I/O functionality for binary files that store frame based mel frequency cepstral
coefficient vectors
|
class |
VoiceQualityFileHeader |
Modifier and Type | Method and Description |
---|---|
boolean |
FeatureFileHeader.isIdenticalAnalysisParams(FeatureFileHeader hdr) |
Constructor and Description |
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FeatureFileHeader(FeatureFileHeader existingHeader) |
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