/** * Copyright 2007 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.signalproc.adaptation.codebook; import marytts.signalproc.adaptation.BaselineFeatureExtractor; import marytts.signalproc.adaptation.outlier.GMMOutlierEliminator; import marytts.signalproc.adaptation.outlier.GaussianOutlierEliminator; import marytts.signalproc.adaptation.outlier.KMeansMappingEliminator; import marytts.util.io.FileUtils; /** * * A collection of outlier eliminators for weighted codebook mapping * * @author Oytun Türk */ public class WeightedCodebookOutlierEliminator { private GaussianOutlierEliminator gaussian; private KMeansMappingEliminator kmeans; private GMMOutlierEliminator gmm; public void run(WeightedCodebookTrainerParams params) { String tempIn = params.temporaryCodebookFile; String tempOut = params.temporaryCodebookFile + "2"; if (!params.gaussianEliminatorParams.isCheckDurationOutliers && !params.gaussianEliminatorParams.isCheckEnergyOutliers && !params.gaussianEliminatorParams.isCheckF0Outliers && !params.gaussianEliminatorParams.isCheckLsfOutliers) params.gaussianEliminatorParams.isActive = false; if (!params.kmeansEliminatorParams.isCheckDurationOutliers && !params.kmeansEliminatorParams.isCheckEnergyOutliers && !params.kmeansEliminatorParams.isCheckF0Outliers && !params.kmeansEliminatorParams.isCheckLsfOutliers) params.kmeansEliminatorParams.isActive = false; if (params.gaussianEliminatorParams.isActive) { if (!params.kmeansEliminatorParams.isActive) tempOut = params.codebookFile; gaussian = new GaussianOutlierEliminator(); if (params.codebookHeader.vocalTractFeature != BaselineFeatureExtractor.LSF_FEATURES) params.gaussianEliminatorParams.isCheckLsfOutliers = false; gaussian.eliminate(params.gaussianEliminatorParams, tempIn, tempOut); } if (params.kmeansEliminatorParams.isActive) { if (params.gaussianEliminatorParams.isActive) tempIn = tempOut; tempOut = params.codebookFile; // This should be changed if you add more eliminators below kmeans = new KMeansMappingEliminator(); if (params.codebookHeader.vocalTractFeature != BaselineFeatureExtractor.LSF_FEATURES) params.kmeansEliminatorParams.isCheckLsfOutliers = false; kmeans.eliminate(params.kmeansEliminatorParams, tempIn, tempOut); if (params.gaussianEliminatorParams.isActive) FileUtils.delete(tempIn); } /* * if (params.gmmEliminatorParams.isActive) { gmm = new KMeansOutlierEliminator(params.totalStandardDeviations); * gmm.eliminate(); } */ // If no outlier elimintor was run, just rename the temporary input file to final codebook file if (!params.gaussianEliminatorParams.isActive && !params.kmeansEliminatorParams.isActive) FileUtils.rename(tempIn, params.codebookFile); } }