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M

main(String[]) - Static method in class arch.LexicalTree
 
main(String[]) - Static method in class arch.Lexicon
Use the main program to verify a lexicon alongside with its alphabet
main(String[]) - Static method in class arch.PhoneInventory
 
main(String[]) - Static method in class bin.Converter
 
main(String[]) - Static method in class bin.Duration
 
main(String[]) - Static method in class bin.GaussEM
 
main(String[]) - Static method in class bin.Initializer
 
main(String[]) - Static method in class bin.Map
 
main(String[]) - Static method in class bin.Mfcc
 
main(String[]) - Static method in class bin.RandomClusterGenerator
 
main(String[]) - Static method in class bin.SuperVector
 
main(String[]) - Static method in class bin.ThreadedRecorder
 
main(String[]) - Static method in class framed.FFT
 
main(String[]) - Static method in class framed.Melfilter
 
main(String[]) - Static method in class framed.Selection
main program; for usage see synopsis
main(String[]) - Static method in class framed.Slope
 
main(String[]) - Static method in class framed.Window
 
main(String[]) - Static method in class io.FrameReader
 
main(String[]) - Static method in class sampled.AudioCapture
 
main(String[]) - Static method in class sampled.AudioFileReader
 
main(String[]) - Static method in class sampled.RawAudioFormat
 
main(String[]) - Static method in class sampled.Synthesizer
 
main(String[]) - Static method in class statistics.DistributionTest
 
main(String[]) - Static method in class statistics.MixtureDensity
 
main(String[]) - Static method in class util.Gnuplot
 
main(String[]) - Static method in class util.MixtureToAscii
 
main(String[]) - Static method in class visual.VisualMFCC
 
MalformedParameterStringException - Exception in exceptions
 
MalformedParameterStringException() - Constructor for exception exceptions.MalformedParameterStringException
 
MalformedParameterStringException(String) - Constructor for exception exceptions.MalformedParameterStringException
 
manhattan(double[], double[]) - Static method in class util.Distances
 
Map - Class in bin
 
Map() - Constructor for class bin.Map
 
map(MixtureDensity, List<Sample>, double, int, String) - Static method in class statistics.Trainer
Perform a number of MAP iterations, based on the initial estimate
map(MixtureDensity, List<Sample>, double, String) - Static method in class statistics.Trainer
Perform a single MAP iteration on the given initial estimate
matchesTranscription(String[], int) - Method in class arch.Polyphone
Check if the the polyphone and its context matches a transcription at a given point
meanSubstract(List<Sample>) - Static method in class statistics.Sample
Subtract the mean value from all samples
Melfilter - Class in framed
Triangular mel-filter with log application in the end (if desired).
Melfilter(FrameSource, int) - Constructor for class framed.Melfilter
Create the default mel filter bank (bandwidth = 226.79982mel)
Melfilter(FrameSource, int, boolean) - Constructor for class framed.Melfilter
Create the default mel filter bank (bandwidth = 226.79982mel) and apply the logarithm in the end.
Mfcc - Class in bin
Feature extraction for ASR and Speaker ID.
Mfcc(String, String, String, String, boolean, boolean, String, String, String) - Constructor for class bin.Mfcc
Initialize the new MFCC object using the given parameter strings.
MIN_PROB - Static variable in class statistics.Density
minimum density score
mixerName - Variable in class sampled.AudioCapture
name of the target mixer or null if default mixer
MixtureClassifier - Class in classifiers
 
MixtureClassifier() - Constructor for class classifiers.MixtureClassifier
 
MixtureDensity - Class in statistics
A Gaussian mixture density using either diagonal or full covariance matrices.
MixtureDensity(int, int, boolean) - Constructor for class statistics.MixtureDensity
Create a new MixtureDensity.
MixtureDensity(MixtureDensity) - Constructor for class statistics.MixtureDensity
 
MixtureToAscii - Class in util
 
MixtureToAscii() - Constructor for class util.MixtureToAscii
 
ml(List<Sample>, boolean) - Static method in class statistics.Trainer
Standard (single-core) maximum likelihood estimation for a single Gaussian density
mlEstimate() - Method in class statistics.ParallelML
Return the estimated density.
mue - Variable in class statistics.Density
mean vector
mul1(double[], double[]) - Static method in class util.VA
c = dot-product(a, b)
mul2(double[], double[]) - Static method in class util.VA
component wise multiplication c = a .* b
mul3(double[], double[]) - Static method in class util.VA
C = a^T a
mul4(double[], double) - Static method in class util.VA
c = a * b where b is a scalar
mul5(double[], double) - Static method in class util.VA
a *= b where b is a scalar
mul6(double[], double[]) - Static method in class util.VA
a *= b component wise

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