/** * Copyright 2009 DFKI GmbH. * All Rights Reserved. Use is subject to license terms. * * This file is part of MARY TTS. * * MARY TTS is free software: you can redistribute it and/or modify * it under the terms of the GNU Lesser General Public License as published by * the Free Software Foundation, version 3 of the License. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this program. If not, see <http://www.gnu.org/licenses/>. * */ package marytts.tools.voiceimport.traintrees; import java.io.IOException; import marytts.features.FeatureVector; import marytts.unitselection.data.UnitFileReader; /** * @author marc * */ public class DurationDistanceMeasure implements DistanceMeasure { private UnitFileReader units; public DurationDistanceMeasure(UnitFileReader units) throws IOException { this.units = units; } /** * Compute the distance between the f0 contours corresponding to the given feature vectors. From the feature vectors, only * their unit index number is used. * * @param fv1 * fv1 * @param fv2 * fv2 * @return math.abs(d1 - d2) * @see marytts.tools.voiceimport.traintrees.DistanceMeasure#distance(marytts.features.FeatureVector, * marytts.features.FeatureVector) */ public float distance(FeatureVector fv1, FeatureVector fv2) { float d1 = units.getUnit(fv1.getUnitIndex()).duration / (float) units.getSampleRate(); float d2 = units.getUnit(fv2.getUnitIndex()).duration / (float) units.getSampleRate(); return Math.abs(d1 - d2); } /** * Compute the distance between the f0 contours corresponding to the given feature vectors. From the feature vectors, only * their unit index number is used. * * @param fv1 * fv1 * @param fv2 * fv2 * @return diff * diff * @see marytts.tools.voiceimport.traintrees.DistanceMeasure#distance(marytts.features.FeatureVector, * marytts.features.FeatureVector) */ public float squaredDistance(FeatureVector fv1, FeatureVector fv2) { float d1 = units.getUnit(fv1.getUnitIndex()).duration / (float) units.getSampleRate(); float d2 = units.getUnit(fv2.getUnitIndex()).duration / (float) units.getSampleRate(); float diff = d1 - d2; return diff * diff; } }