edu.cmu.sphinx.linguist.acoustic.tiedstate

Class GaussianMixture

java.lang.Object

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

edu.cmu.sphinx.linguist.acoustic.tiedstate.GaussianMixture

All Implemented Interfaces:

Senone, java.io.Serializable

Direct Known Subclasses:

SetBasedGaussianMixture

public class GaussianMixture
extends ScoreCachingSenone

Represents a concrete implementation of a simple senone. A simple senone is a set of probability density functions implemented as a Gaussian mixture.

All scores and weights are maintained in LogMath log base.

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected int	id
protected LogMath	logMath
protected GaussianWeights	mixtureWeights

Constructor Summary

Constructors

Constructor and Description
GaussianMixture(GaussianWeights mixtureWeights, MixtureComponent[] mixtureComponents, int id) Creates a new senone from the given components.

Method Summary

Modifier and Type	Method and Description
float[]	calculateComponentScore(Data feature) Calculates the scores for each component in the senone.
float	calculateScore(Data feature) Calculates the score for this senone based upon the given feature.
int	dimension()
void	dump(java.lang.String msg) Dumps this senone.
boolean	equals(java.lang.Object o) Determines if two objects are equal
float[]	getComponentWeights()
long	getID() Gets the ID for this senone
float	getLogComponentWeight(int index)
float[]	getLogMixtureWeights()
MixtureComponent[]	getMixtureComponents() Returns the mixture components associated with this Gaussian
int	hashCode() Returns the hashcode for this object
int	numComponents()
java.lang.String	toString() Retrieves a string form of this object

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

getScore

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

mixtureWeights

protected GaussianWeights mixtureWeights

id

protected int id

logMath

protected LogMath logMath

Constructor Detail

GaussianMixture

public GaussianMixture(GaussianWeights mixtureWeights,
                       MixtureComponent[] mixtureComponents,
                       int id)

Creates a new senone from the given components.

Parameters:

mixtureWeights - the mixture weights for this senone in LogMath log base

mixtureComponents - the mixture components for this senone

id - id of the mixture

Method Detail

dump

public void dump(java.lang.String msg)

Dumps this senone.

Parameters:

msg - annotation message

equals

public boolean equals(java.lang.Object o)

Determines if two objects are equal

Overrides:

equals in class java.lang.Object

Parameters:

o - the object to compare to this.

Returns:

true if the objects are equal

hashCode

public int hashCode()

Returns the hashcode for this object

Overrides:

hashCode in class java.lang.Object

Returns:

the hashcode

getID

public long getID()

Description copied from interface: Senone

Gets the ID for this senone

Returns:

the senone id

toString

public java.lang.String toString()

Retrieves a string form of this object

Overrides:

toString in class java.lang.Object

Returns:

the string representation of this object

calculateScore

public float calculateScore(Data feature)

Description copied from class: ScoreCachingSenone

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

Specified by:

calculateScore in class ScoreCachingSenone

Parameters:

feature - the feature vector to score this senone against

Returns:

the score for this senone in LogMath log base

calculateComponentScore

public float[] calculateComponentScore(Data feature)

Calculates the scores for each component in the senone.

Parameters:

feature - the feature to score

Returns:

the LogMath log scores for the feature, one for each component

getMixtureComponents

public MixtureComponent[] getMixtureComponents()

Description copied from interface: Senone

Returns the mixture components associated with this Gaussian

Returns:

the array of mixture components

dimension

public int dimension()

Returns:

the dimension of the modeled feature space

numComponents

public int numComponents()

Returns:

the number of component densities of this GaussianMixture.

getLogMixtureWeights

public float[] getLogMixtureWeights()

Returns:

the mixture weights vector

getComponentWeights

public float[] getComponentWeights()

Returns:

the (linearly scaled) mixture weights of the component densities

getLogComponentWeight

public float getLogComponentWeight(int index)

Parameters:

index - of the component

Returns:

the (log-scaled) mixture weight of the component density index