marytts.machinelearning

Class GMMTrainerParams

java.lang.Object

marytts.machinelearning.GMMTrainerParams

public class GMMTrainerParams
extends Object

Wrapper class for GMM training parameters

Author:

Oytun Türk

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	EM_IS_DIAGONAL_COVARIANCE_DEFAULT
static boolean	EM_IS_UPDATE_COVARIANCES_DEFAULT
static int	EM_MAX_ITERATIONS_DEFAULT
static double	EM_MIN_COVARIANCE_ALLOWED_DEFAULT
static int	EM_MIN_ITERATIONS_DEFAULT
static double	EM_TINY_LOGLIKELIHOOD_CHANGE_PERCENT_DEFAULT
static int	EM_TOTAL_COMPONENTS_DEFAULT
static boolean	EM_USE_NATIVE_C_LIB_TRAINER_DEFAULT
int	emMaxIterations
int	emMinIterations
boolean	isDiagonalCovariance
boolean	isUpdateCovariances
int	kmeansMaxIterations
double	kmeansMinClusterChangePercent
int	kmeansMinSamplesInOneCluster
double	minCovarianceAllowed
double	tinyLogLikelihoodChangePercent
int	totalComponents
boolean	useNativeCLibTrainer

Constructor Summary

Constructors

Constructor and Description
GMMTrainerParams()
GMMTrainerParams(GMMTrainerParams existing)
GMMTrainerParams(MaryRandomAccessFile stream)

Method Summary

Methods

Modifier and Type	Method and Description
void	read(MaryRandomAccessFile stream)
void	write(MaryRandomAccessFile stream)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

EM_TOTAL_COMPONENTS_DEFAULT

public static final int EM_TOTAL_COMPONENTS_DEFAULT

See Also:

Constant Field Values

EM_IS_DIAGONAL_COVARIANCE_DEFAULT

public static final boolean EM_IS_DIAGONAL_COVARIANCE_DEFAULT

See Also:

Constant Field Values

EM_MIN_ITERATIONS_DEFAULT

public static final int EM_MIN_ITERATIONS_DEFAULT

See Also:

Constant Field Values

EM_MAX_ITERATIONS_DEFAULT

public static final int EM_MAX_ITERATIONS_DEFAULT

See Also:

Constant Field Values

EM_IS_UPDATE_COVARIANCES_DEFAULT

public static final boolean EM_IS_UPDATE_COVARIANCES_DEFAULT

See Also:

Constant Field Values

EM_TINY_LOGLIKELIHOOD_CHANGE_PERCENT_DEFAULT

public static final double EM_TINY_LOGLIKELIHOOD_CHANGE_PERCENT_DEFAULT

See Also:

Constant Field Values

EM_MIN_COVARIANCE_ALLOWED_DEFAULT

public static final double EM_MIN_COVARIANCE_ALLOWED_DEFAULT

See Also:

Constant Field Values

EM_USE_NATIVE_C_LIB_TRAINER_DEFAULT

public static final boolean EM_USE_NATIVE_C_LIB_TRAINER_DEFAULT

See Also:

Constant Field Values

totalComponents

public int totalComponents

isDiagonalCovariance

public boolean isDiagonalCovariance

kmeansMaxIterations

public int kmeansMaxIterations

kmeansMinClusterChangePercent

public double kmeansMinClusterChangePercent

kmeansMinSamplesInOneCluster

public int kmeansMinSamplesInOneCluster

emMinIterations

public int emMinIterations

emMaxIterations

public int emMaxIterations

isUpdateCovariances

public boolean isUpdateCovariances

tinyLogLikelihoodChangePercent

public double tinyLogLikelihoodChangePercent

minCovarianceAllowed

public double minCovarianceAllowed

useNativeCLibTrainer

public boolean useNativeCLibTrainer

Constructor Detail

GMMTrainerParams

public GMMTrainerParams()

GMMTrainerParams

public GMMTrainerParams(GMMTrainerParams existing)

GMMTrainerParams

public GMMTrainerParams(MaryRandomAccessFile stream)

Method Detail

write

public void write(MaryRandomAccessFile stream)

read

public void read(MaryRandomAccessFile stream)