/**
* 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.gmm.jointgmm;
import marytts.machinelearning.ContextualGMMParams;
import marytts.signalproc.adaptation.BaselineFeatureExtractor;
import marytts.signalproc.adaptation.BaselinePreprocessor;
import marytts.signalproc.adaptation.BaselineTrainer;
import marytts.signalproc.adaptation.codebook.WeightedCodebookTrainerParams;
/**
* Joint-GMM voice conversion training Both parallel and non-parallel training should derive from this class
*
* @author Oytun Türk
*/
public class JointGMMTrainer extends BaselineTrainer {
protected WeightedCodebookTrainerParams codebookTrainerParams;
protected JointGMMTrainerParams gmmTrainerParams;
protected ContextualGMMParams cgParams;
public JointGMMTrainer(BaselinePreprocessor pp, BaselineFeatureExtractor fe, WeightedCodebookTrainerParams pa,
JointGMMTrainerParams gp, ContextualGMMParams cg) {
super(pp, fe);
codebookTrainerParams = new WeightedCodebookTrainerParams(pa);
gmmTrainerParams = new JointGMMTrainerParams(gp);
cgParams = new ContextualGMMParams(cg);
}
}