content: /**
   * Copyright 2007 DFKI GmbH.
   * All Rights Reserved.  Use is subject to license terms.
   * <p/>
   * This file is part of MARY TTS.
   * <p/>
   * 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.
   * <p/>
   * 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.
   * <p/>
   * 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.prosody;
  
  import java.util.Arrays;
  
  import marytts.util.math.MathUtils;
  
  
  /**
   * @author Oytun T&uumlrk
   */
  public class PitchStatisticsMapping {
      public PitchStatistics sourceGlobalStatisticsHz;
      public PitchStatistics targetGlobalStatisticsHz;
      public PitchStatisticsCollection sourceLocalStatisticsHz;
      public PitchStatisticsCollection targetLocalStatisticsHz;
      public PitchStatistics sourceGlobalStatisticsLogHz;
      public PitchStatistics targetGlobalStatisticsLogHz;
      public PitchStatisticsCollection sourceLocalStatisticsLogHz;
      public PitchStatisticsCollection targetLocalStatisticsLogHz;
      public double[] sourceVariancesHz;
      public double[] targetVariancesHz;
      public double[] sourceVariancesLogHz;
      public double[] targetVariancesLogHz;
  
      public PitchStatisticsMapping(PitchStatisticsCollection allFromTraining) {
          PitchStatisticsCollection tmpCollection = null;
          //Hertz statistics
          sourceGlobalStatisticsHz = new PitchStatistics(allFromTraining.getGlobalStatisticsSourceHz());
          targetGlobalStatisticsHz = new PitchStatistics(allFromTraining.getGlobalStatisticsTargetHz());
          sourceLocalStatisticsHz = new PitchStatisticsCollection(allFromTraining.getLocalStatisticsSourceHz());
          targetLocalStatisticsHz = new PitchStatisticsCollection(allFromTraining.getLocalStatisticsTargetHz());
          sourceVariancesHz = setVariances(sourceLocalStatisticsHz);
          targetVariancesHz = setVariances(targetLocalStatisticsHz);
  
          //Log Hertz statistics
          sourceGlobalStatisticsLogHz = new PitchStatistics(allFromTraining.getGlobalStatisticsSourceLogHz());
          targetGlobalStatisticsLogHz = new PitchStatistics(allFromTraining.getGlobalStatisticsTargetLogHz());
          sourceLocalStatisticsLogHz = new PitchStatisticsCollection(allFromTraining.getLocalStatisticsSourceLogHz());
          targetLocalStatisticsLogHz = new PitchStatisticsCollection(allFromTraining.getLocalStatisticsTargetLogHz());
          sourceVariancesLogHz = setVariances(sourceLocalStatisticsLogHz);
          targetVariancesLogHz = setVariances(targetLocalStatisticsLogHz);
      }
  
      private double[] setVariances(PitchStatisticsCollection p) {
          double[] variances = new double[5];
          if (p.entries != null) {
              if (p.entries.length < 2)
                  Arrays.fill(variances, 1.0);
              else {
                  int i, j;
                  double[][] vals = new double[variances.length][];
                  for (i = 0; i < variances.length; i++)
                      vals[i] = new double[p.entries.length];
  
                  for (j = 0; j < p.entries.length; j++)
                      vals[0][j] = p.entries[j].mean;
  
                  for (j = 0; j < p.entries.length; j++)
                      vals[1][j] = p.entries[j].standardDeviation;
  
                  for (j = 0; j < p.entries.length; j++)
                      vals[2][j] = p.entries[j].range;
  
                  for (j = 0; j < p.entries.length; j++)
                      vals[3][j] = p.entries[j].intercept;
  
                  for (j = 0; j < p.entries.length; j++)
                      vals[4][j] = p.entries[j].slope;
  
                  variances = MathUtils.getVarianceRows(vals);
              }
          }
  
          return variances;
      }
  }
  
  