/**
* Creates a deep copy of the cluster: segments in the new cluster are copies of the original
* segments, not references.
*
* @return the object
*/
@Override
public Cluster clone() {
Cluster result = null;
try {
result = (Cluster) (super.clone());
} catch (CloneNotSupportedException e) {
logger.log(Level.SEVERE, "", e);
e.printStackTrace();
}
result.segmentSet = new TreeSet<Segment>();
for (Segment segment : segmentSet) {
result.segmentSet.add((segment.clone()));
}
result.informationMap = new TreeMap<String, Object>(new StringComparator());
for (String key : informationMap.keySet()) {
result.setInformation(key, informationMap.get(key));
}
result.modelScores = new ModelScores();
for (String key : modelScores.keySet()) {
result.modelScores.put(key, modelScores.get(key));
}
result.speakerNameSet = (SpeakerNameSet) speakerNameSet.clone();
return result;
}
/**
* Information of the cluster.
*
* @param level the level
*/
public void debug(int level) {
logger.fine(
"name= "
+ getName()
+ " gender= "
+ getGender()
+ " channel= "
+ getChannel()
+ " Length= "
+ getLength()
+ " info= "
+ getInformations());
speakerNameSet.debug();
for (Segment segment : segmentSet) {
segment.debug(level);
}
}
/**
* Gets the maximum scoreCluster for the given real speaker name.
*
* @return the maximum scoreCluster for the given real speaker name.
*/
public SpeakerName getMaxSpeakerName() {
return speakerNameSet.getMaxScore();
}
/**
* Compute sum.
*
* @throws Exception the exception
*/
public void computeSum() throws Exception {
speakerNameSet.computeSum();
}
/**
* Removes a SpeakerSame instance according the given real speaker name.
*
* @param name the real speaker name
*/
public void RemoveSpeakerName(String name) {
speakerNameSet.remove(name);
}
/**
* Compute belief functions of the scoreCluster of speaker name set.
*
* @throws Exception the exception
*/
public void computeBeliefFunctions() throws Exception {
speakerNameSet.computeBeliefFunctions();
}
/** Mean the scoreCluster of speaker name set. */
public void computeMeanScore() {
speakerNameSet.meanScoreCluster();
}
/** Normalize the scoreCluster of speaker name set. */
public void computeNormalizedScore() {
speakerNameSet.normalizeScoreCluster();
}
/**
* Gets the speaker name.
*
* @param name the name of the real speaker name
* @return the SpeakerName instance
*/
public SpeakerName getSpeakerName(String name) {
return speakerNameSet.get(name);
}
/** Clear speaker name set. */
public void clearSpeakerNameSet() {
speakerNameSet.clear();
}