edu.cmu.sphinx.linguist.acoustic.tiedstate.HTK

Class GMMDiag

java.lang.Object

edu.cmu.sphinx.linguist.acoustic.tiedstate.HTK.GMMDiag

public class GMMDiag
extends java.lang.Object

This a producer for observations, it outputs the log likelihoods for guassians

Field Summary

Fields

Modifier and Type	Field and Description
protected float[][]	covar
protected float[]	loglikes
LogMath	logMath
protected float[][]	means
java.lang.String	nom
int	nT
protected float[]	weights

Constructor Summary

Constructors

Constructor and Description
GMMDiag()
GMMDiag(int ng, int nc)

Method Summary

Modifier and Type	Method and Description
void	computeLogLikes(float[] data)
GMMDiag	getGauss(int i) extracts ONE gaussian from the GMM
float	getLogLike() Calculate log probability of the observation must be called AFTER next() !
GMMDiag	getMarginal(boolean[] mask)
float	getMean(int i, int j)
int	getNcoefs()
int	getNgauss()
float	getVar(int i, int j)
float	getWeight(int i)
int	getWinningGauss() must be called AFTER next()
boolean	isEqual(GMMDiag g) 2 GMMs are considered to be equal when all of their parameters do not differ from more than 1%
void	load(java.lang.String name) Load from text proprietary format
void	loadHTK(java.lang.String nom)
void	loadScaleKMeans(java.lang.String nom)
GMMDiag	merge(GMMDiag g, float w1)
void	precomputeDistance()
void	save(java.lang.String name) Saves in proprietary format
void	saveHTK(java.lang.String nomFich, java.lang.String nomHMM)
void	saveHTK(java.lang.String nomFich, java.lang.String nomHMM, java.lang.String parmKind)
java.io.PrintWriter	saveHTKheader(java.lang.String nomFich, java.lang.String parmKind)
void	saveHTKState(java.io.PrintWriter fout)
void	saveHTKtailer(int nstates, java.io.PrintWriter fout)
void	setMean(int i, int j, float v)
void	setNom(java.lang.String s)
void	setVar(int i, int j, float v)
void	setWeight(int i, float w)
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Field Detail

nT

public int nT

nom

public java.lang.String nom

logMath

public LogMath logMath

weights

protected float[] weights

means

protected float[][] means

covar

protected float[][] covar

loglikes

protected float[] loglikes

Constructor Detail

GMMDiag

public GMMDiag()

GMMDiag

public GMMDiag(int ng,
               int nc)

Method Detail

getNgauss

public int getNgauss()

getWeight

public float getWeight(int i)

getVar

public float getVar(int i,
                    int j)

setWeight

public void setWeight(int i,
                      float w)

setVar

public void setVar(int i,
                   int j,
                   float v)

setMean

public void setMean(int i,
                    int j,
                    float v)

getMean

public float getMean(int i,
                     int j)

save

public void save(java.lang.String name)

Saves in proprietary format

Parameters:

name - name of file to save

load

public void load(java.lang.String name)

Load from text proprietary format

Parameters:

name - filename to load from

saveHTK

public void saveHTK(java.lang.String nomFich,
                    java.lang.String nomHMM)

saveHTKheader

public java.io.PrintWriter saveHTKheader(java.lang.String nomFich,
                                         java.lang.String parmKind)

saveHTKState

public void saveHTKState(java.io.PrintWriter fout)

saveHTKtailer

public void saveHTKtailer(int nstates,
                          java.io.PrintWriter fout)

saveHTK

public void saveHTK(java.lang.String nomFich,
                    java.lang.String nomHMM,
                    java.lang.String parmKind)

loadHTK

public void loadHTK(java.lang.String nom)

loadScaleKMeans

public void loadScaleKMeans(java.lang.String nom)

precomputeDistance

public void precomputeDistance()

computeLogLikes

public void computeLogLikes(float[] data)

getLogLike

public float getLogLike()

Calculate log probability of the observation must be called AFTER next() !

Returns:

log likelihood

getWinningGauss

public int getWinningGauss()

must be called AFTER next()

Returns:

best gaussian

getNcoefs

public int getNcoefs()

getMarginal

public GMMDiag getMarginal(boolean[] mask)

merge

public GMMDiag merge(GMMDiag g,
                     float w1)

Parameters:

g - second GMM for the merge

w1 - weight of the first GMM for the merge

Returns:

gaussian

getGauss

public GMMDiag getGauss(int i)

extracts ONE gaussian from the GMM

Parameters:

i - position

Returns:

gaussian

setNom

public void setNom(java.lang.String s)

isEqual

public boolean isEqual(GMMDiag g)

2 GMMs are considered to be equal when all of their parameters do not differ from more than 1%

Parameters:

g - second gmm to compare to

Returns:

if GMMs are equal

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object