marytts.tools.voiceimport.traintrees

Class F0ContourPolynomialDistanceMeasure

java.lang.Object

marytts.tools.voiceimport.traintrees.F0ContourPolynomialDistanceMeasure

All Implemented Interfaces:

DistanceMeasure

public class F0ContourPolynomialDistanceMeasure
extends Object
implements DistanceMeasure

Author:

marc

Constructor Summary

Constructors

Constructor and Description
F0ContourPolynomialDistanceMeasure(FeatureFileReader contours)

Method Summary

Methods

Modifier and Type	Method and Description
float[]	computeMean(FeatureVector[] fvs) Compute the mean polynomial from the given set of polynomials.
double	computeVariance(FeatureVector[] fvs) Compute the variance of the given set of feature vectors.
float	distance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	squaredDistance(FeatureVector fv1, FeatureVector fv2) Compute the distance between the f0 contours corresponding to the given feature vectors.
float	squaredDistance(FeatureVector fv, float[] polynomial)

Methods inherited from class java.lang.Object

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

Constructor Detail

F0ContourPolynomialDistanceMeasure

public F0ContourPolynomialDistanceMeasure(FeatureFileReader contours)
                                   throws IOException

Throws:

IOException

Method Detail

distance

public float distance(FeatureVector fv1,
             FeatureVector fv2)

Compute the distance between the f0 contours corresponding to the given feature vectors. From the feature vectors, only their unit index number is used.

Specified by:

distance in interface DistanceMeasure

Parameters:

fv1 - fv1

fv2 - fv2

Returns:

dist

See Also:

DistanceMeasure.distance(marytts.features.FeatureVector, marytts.features.FeatureVector)

squaredDistance

public float squaredDistance(FeatureVector fv1,
                    FeatureVector fv2)

Compute the distance between the f0 contours corresponding to the given feature vectors. From the feature vectors, only their unit index number is used.

Specified by:

squaredDistance in interface DistanceMeasure

Parameters:

fv1 - fv1

fv2 - fv2

Returns:

dist

See Also:

DistanceMeasure.distance(marytts.features.FeatureVector, marytts.features.FeatureVector)

squaredDistance

public float squaredDistance(FeatureVector fv,
                    float[] polynomial)

computeMean

public float[] computeMean(FeatureVector[] fvs)

Compute the mean polynomial from the given set of polynomials.

Parameters:

fvs - fvs

Returns:

mean

computeVariance

public double computeVariance(FeatureVector[] fvs)

Compute the variance of the given set of feature vectors.

Parameters:

fvs - fvs

Returns:

variance