edu.cmu.sphinx.linguist.acoustic.tiedstate.kaldi

Class DiagGmm

java.lang.Object

edu.cmu.sphinx.linguist.acoustic.tiedstate.ScoreCachingSenone

edu.cmu.sphinx.linguist.acoustic.tiedstate.kaldi.DiagGmm

All Implemented Interfaces:

Senone, java.io.Serializable

public class DiagGmm
extends ScoreCachingSenone

Gaussian Mixture Model with diagonal covariances.

See Also:

class in Kaldi., Serialized Form

Constructor Summary

Constructors

Constructor and Description
DiagGmm(int id, KaldiTextParser parser) Constructs new mixture model.

Method Summary

Modifier and Type	Method and Description
float[]	calculateComponentScore(Data data) Calculates the component scores for the mixture components in this senone based upon the given feature.
float	calculateScore(Data data) Calculates the score for this senone based upon the given feature.
void	dump(java.lang.String msg) Dumps a senone
int	getId() Convenient method if 32-bit ID is required.
long	getID() Gets the ID for this senone
float[]	getLogMixtureWeights()
MixtureComponent[]	getMixtureComponents() Returns the mixture components associated with this Gaussian

Methods inherited from class edu.cmu.sphinx.linguist.acoustic.tiedstate.ScoreCachingSenone

getScore

Methods inherited from class java.lang.Object

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

Constructor Detail

DiagGmm

public DiagGmm(int id,
               KaldiTextParser parser)

Constructs new mixture model.

Parameters:

id - identifier of this GMM as defined in the model

parser - text format parser

Method Detail

getId

public int getId()

Convenient method if 32-bit ID is required. Kaldi model uses 32-bit integer to store GMM id while Senone contract imposes long type. This method is present to avaoid type cast when working in the Kaldi domain.

Returns:

the ID of gmm

calculateScore

public float calculateScore(Data data)

Description copied from class: ScoreCachingSenone

Calculates the score for this senone based upon the given feature.

Specified by:

calculateScore in class ScoreCachingSenone

Parameters:

data - the feature vector to score this senone against

Returns:

the score for this senone in LogMath log base

calculateComponentScore

public float[] calculateComponentScore(Data data)

Description copied from interface: Senone

Calculates the component scores for the mixture components in this senone based upon the given feature.

Parameters:

data - the feature vector to score this senone against

Returns:

the scores for this senone in LogMath log base

getID

public long getID()

Description copied from interface: Senone

Gets the ID for this senone

Returns:

the senone id

dump

public void dump(java.lang.String msg)

Description copied from interface: Senone

Dumps a senone

Parameters:

msg - an annotation for the dump

getMixtureComponents

public MixtureComponent[] getMixtureComponents()

Description copied from interface: Senone

Returns the mixture components associated with this Gaussian

Returns:

the array of mixture components

getLogMixtureWeights

public float[] getLogMixtureWeights()

Returns:

the mixture weights vector