A B C D E F G H I K L M N O P R S T U V W X Y

E

em(MixtureDensity, List<Sample>, int) - Static method in class statistics.Trainer
Perform a number of EM iterations (single-core, cached posteriors) using the initial density and the given data.
em(MixtureDensity, List<Sample>) - Static method in class statistics.Trainer
Given an initial mixture density, perform a single EM iteration w/ out the use of parallelization.
enableDCShift(int) - Method in class sampled.AudioCapture
enables the DC shift or updates the instance for the given context size
enableInternalBuffer(int) - Method in class sampled.AudioCapture
Enable the internal Buffer (instead of the local one)
enableScaling() - Method in class sampled.AudioCapture
Enable scaling of the signal to [-1;1] depending on its bit rate
entries - Variable in class arch.Lexicon
lexicon entries, supposedly sorted
EPSILON - Static variable in class framed.Melfilter
Epsilon constant for logarithm
equals(Object) - Method in class arch.Lexicon.Entry
 
equals(Lexicon.Entry) - Method in class arch.Lexicon.Entry
Returns true if the words match
equals(Polyphone) - Method in class arch.Polyphone
 
equals(String) - Method in class arch.Polyphone
 
equals(Object) - Method in class arch.Polyphone
 
equals(Object) - Method in class util.Pair
 
euclidean(double[], double[]) - Static method in class util.Distances
 
evaluate(DataSet) - Method in interface classifiers.Classifier
 
evaluate(Sample) - Method in class classifiers.MixtureClassifier
 
evaluate(Sample, double[]) - Method in class classifiers.MixtureClassifier
 
evaluate(DataSet) - Method in class classifiers.MixtureClassifier
 
evaluate(Sample) - Method in class classifiers.NaiveBayes
 
evaluate(Sample, double[]) - Method in class classifiers.NaiveBayes
 
evaluate(DataSet) - Method in class classifiers.NaiveBayes
 
evaluate(double[]) - Method in class statistics.Density
Evaluate the density for the given sample vector x.
evaluate(double[]) - Method in class statistics.DensityDiagonal
Evaluate the density for the given sample vector x.
evaluate(double[]) - Method in class statistics.DensityFull
Evaluate the density for the given sample vector x.
evaluate(double[]) - Method in class statistics.MixtureDensity
Evaluate the GMM
EvaluationException - Exception in exceptions
 
EvaluationException(String) - Constructor for exception exceptions.EvaluationException
 
exceptions - package exceptions
 
extractPolyphonesFromWordTranscription(String[]) - Static method in class arch.Polyphone
Extract all possible polyphones from the given word transcription.

A B C D E F G H I K L M N O P R S T U V W X Y