C++ SegServer::createCluster方法代码示例

//-------------------------------------------------------------------------
int labelNGram(Config& config)
{
  if (config.existsParam("debug"))debug=true; else debug=false;  
  if (config.existsParam("verbose"))verbose=true; else verbose=false;
  String extOutputLabel=".sym.lbl";                                               // the extension of the output files    
  if (config.existsParam("saveLabelFileExtension")) extOutputLabel=config.getParam("saveLabelFileExtension");   
  String pathOutput="./";                                                // the path of the output files    
  if (config.existsParam("labelOutputPath")) pathOutput=config.getParam("labelOutputPath");    
  String extSymbol=".sym";                                               // the extension of the symbol files   
  if (config.existsParam("symbolFileExtension")) extSymbol=config.getParam("symbolFileExtension");   
  String pathSymbol="./";   
  if (config.existsParam("symbolPath")) pathSymbol=config.getParam("symbolPath");   
  String formatSymbol="ascii";   
  if (config.existsParam("symbolFormat")) pathSymbol=config.getParam("symbolFormat");  
 
  String NGramFilename=config.getParam("NGramFilename");                                        
  unsigned long NGramOrder=3;
  if (config.existsParam("NGramOrder")) NGramOrder=config.getParam("NGramOrder").toLong();  
  unsigned long NGramSelected=16;
  if (config.existsParam("NGramSelected")) NGramSelected=config.getParam("NGramSelected").toLong();  
  NGram NGramTable(NGramOrder,NGramSelected);
  NGramTable.load(NGramFilename,config);                       // Load the NGRAM table, selecting the NGramSelected first
 
  String inputFilename=config.getParam("inputFilename");
  String labelSelectedFrames=config.getParam("labelSelectedFrames");
  XLine inputFileList;
  try{
    if (inputFilename.endsWith(".lst")){ // input is file containing a list of filenames
      XList tmp(inputFilename,config);
      inputFileList=tmp.getAllElements();
    }
    else inputFileList.addElement(inputFilename); // a single filename
    String *p;
    while ((p=inputFileList.getElement())){
      String& filename=*p;
      if (verbose)
	cout <<"labelNGram file["<<filename<<"] Table["<<NGramFilename<<"] Order["<<NGramOrder<<"] Selected["<<NGramSelected<<"]"<<endl;
      SegServer segServer;                
      LabelServer labelServer;
      loadClusterFile(filename,segServer,labelServer,config);
      long codeSelectedFrame=labelServer.getLabelIndexByString(labelSelectedFrames);       // Get the index of the selected cluster
      if (codeSelectedFrame==-1){                                                             // No data for this model !!!!!!!!!!!!!!
      cout << " WARNING - NO DATA with the label["<<labelSelectedFrames<<"] in file ["<<filename<<"]"<<endl;
      exit(0);
      }
      SegCluster& cluster=segServer.getCluster(codeSelectedFrame);                                   // Gives the cluster of the selected/used segments
      ULongVector tabS;
      unsigned long nbSym=loadSymbol(pathSymbol+filename+extSymbol,formatSymbol,tabS,config);        // Read the stream of symbols
      SegServer segServerOutput;
      SegCluster& clusterOut=segServerOutput.createCluster(0,labelSelectedFrames,cluster.sourceName());  
      //  
      computeLabelNGram(NGramTable,cluster,clusterOut,tabS,nbSym);
      //
    
      if (verbose){
	cout <<"File["<<filename<<"]" <<endl;
	cout << "Output the new label file in ["<<pathOutput+filename+extOutputLabel <<"]"<<endl;
      }
      outputLabelFile(clusterOut,pathOutput+filename+extOutputLabel,config);
    } // end file loop
  } // fin try
  
  
  catch (Exception& e)
    { 
      cout << e.toString().c_str() << endl;
    }
  return 0;
}

int saveApost(Config &config)
{

 bool writeAllFeature=true; // Output a vector for all input vectors (selected and not selected vectors) - DEFAULT=on
 if (config.existsParam("writeAllFeatures")) writeAllFeature=config.getParam("writeAllFeatures").toBool();    // Define if all the feature     (selected or not) should be written

	String modelname = config.getParam("inputModelFilename");
	  String inputFeatureFileName =config.getParam("inputFeatureFilename");          // input feature - could be a simple feature file or a list of filenames
        XLine inputFeatureFileNameList;                                                // The (feature) input filename list
        if (inputFeatureFileName.endsWith(".lst")){                                   // If the file parameter is the name of a XList file
	   XList inputFileNameXList(inputFeatureFileName,config);                   // Read the filename list file
           inputFeatureFileNameList=inputFileNameXList.getAllElements();            // And put the filename in a list if the file is a list of feature filenames
			      }
      else {                                                                         // It was a simple feature file and not a filename list
	          inputFeatureFileNameList.addElement(inputFeatureFileName);                   // add the filename in the list
		    }

	try{

        // read UBM 
        MixtureServer _ms(config);
	StatServer _ss(config);
        _ms.loadMixtureGD(config.getParam("inputWorldFilename"));
        MixtureGD & UBM=_ms.getMixtureGD((unsigned long) 0);
        MixtureGDStat &acc=_ss.createAndStoreMixtureStat(UBM);

	unsigned long _vsize=UBM.getVectSize();
	unsigned long _mixsize=UBM.getDistribCount();
        // Loop over the list of feature files
	String *file;
	String labelSelectedFrames;
        unsigned long codeSelectedFrame;
	while ((file=inputFeatureFileNameList.getElement())!= NULL){         
	String & featureFilename=(*file);

	FeatureServer fs(config,featureFilename);
	FeatureServer fs_out(config,featureFilename);
        SegServer segmentsServer;
        LabelServer labelServer;
        initializeClusters(featureFilename,segmentsServer,labelServer,config);
        verifyClusterFile(segmentsServer,fs,config);
	labelSelectedFrames=config.getParam("labelSelectedFrames");
        codeSelectedFrame=labelServer.getLabelIndexByString(labelSelectedFrames);
        SegCluster& selectedSegments=segmentsServer.getCluster(codeSelectedFrame); 

	// Compute Occupations and Statistics
        acc.resetOcc();
        Seg *seg;
        selectedSegments.rewind();
        String currentSource="";
        while((seg=selectedSegments.getSeg())!=NULL){
                unsigned long begin=seg->begin()+fs.getFirstFeatureIndexOfASource(seg->sourceName());    // Idx of the first frame of the current file in the feature server
                if (currentSource!=seg->sourceName()) {
                currentSource=seg->sourceName();
                if (verbose)cout << "Processing speaker["<<currentSource<<"]"<< endl;
                }

                fs.seekFeature(begin);
                Feature f;

	for (unsigned long idxFrame=0;idxFrame<seg->length();idxFrame++){
                                fs.readFeature(f);
                                acc.computeAndAccumulateOcc(f);
                                RealVector <double> aPost=acc.getOccVect();

				Feature tmpF;
				for(unsigned long k=0;k<_mixsize;k++) {
				tmpF[k]=aPost[k];
				}

                                fs_out.addFeature(f);
}

}

// Writing apost probabilities to file 

	cout << "Writing to: " << featureFilename << endl;
		        FeatureFileWriter w(featureFilename, config);   // build a featurefile writer to output the features (real features)
			SegServer fakeSegServer;
		        if (writeAllFeature) {                  // Output all the features- feature count id the same SegServer fakeSegServer;                                          // Create a new fake segment server
		            fakeSegServer.createCluster(0);       // Create a new cluster
		            SegCluster& fakeSeg=fakeSegServer.getCluster(0);    // Get the cluster               
		            fakeSeg.add(fakeSegServer.createSeg(0,fs_out.getFeatureCount(),codeSelectedFrame, labelSelectedFrames,featureFilename));            // Add a segment with all the features
		            outputFeatureFile(config,fs_out,fakeSeg,w);   // output all the features - giving the same file length
		        }
		        else
		            outputFeatureFile(config,fs_out,selectedSegments, w);    // Output only the selected features - giving a shorter output 


}


	}	
	catch (Exception& e){cout << e.toString().c_str() << endl;}
return 0;
}

void TurnDetection(Config& config, SegCluster& cluster,SegServer& segOutputServer,
		  StatServer& ss,FeatureServer &fs,MixtureServer&
		  ms,LabelServer& labelServer){

SegServer segTemp;	

segOutputServer.removeAllClusters();
segOutputServer.removeAllSegs();

SegServer actualSeg;	
String et_temp="speech";
Label l(et_temp);
SegCluster& clusterSeg=actualSeg.createCluster(labelServer.addLabel(l),et_temp," "); //Create the cluster L


String crit="DGLR";
if(config.existsParam("clusteringCrit")) 
	crit=config.getParam("clusteringCrit");

double threshold=0.0;
if(config.existsParam("clusteringCritThresh"))
	threshold=config.getParam("clusteringCritThresh").toDouble();

unsigned long winSize=50;
if(config.existsParam("winSize")) winSize=config.getParam("winSize").toLong();
unsigned long winStep=5;
if(config.existsParam("winStep")) winStep=config.getParam("winStep").toLong();
double alpha=0.7;
if(config.existsParam("alpha")) alpha=config.getParam("alpha").toDouble();

unsigned long start1=0, end1=0;
unsigned long start2=0, end2=0;
unsigned long accu=0;


for(unsigned long iseg=0; iseg<cluster.getCount(); iseg++){
	
	
	Seg& segment=(Seg&)cluster.get(iseg);
	if(verbose)
		cout << "Segment" << iseg << ": " << segment.begin() << " " << endSeg(&segment) << endl; 
	if(segment.length() <= 2*winSize){
		clusterSeg.add(actualSeg.createSeg(segment.begin(),endSeg(&segment)-segment.begin()+1,0,segment.string(),segment.sourceName()));
		if(debug) cout << "add: " << segment.begin() << " " << endSeg(&segment) << endl;		
	}
	else{
		ObjectRefVector res;
		start1=segment.begin();
		end1=start1+winSize-1;
		start2=end1+1;
		end2=start2+winSize-1;
		accu = start1;
	
		while(end2 < endSeg(&segment)){
			if(verbose){
				cout << "Computation between: " << start1 << " " << end1; 
				cout << " and " << start2 << " " << end2 << endl; 
			}
			SegCluster& c1=segTemp.createCluster();
			c1.add(segTemp.createSeg(start1,winSize,0,"null",segment.sourceName()));
			SegCluster& c2=segTemp.createCluster();
			c2.add(segTemp.createSeg(start2,winSize,0,"null",segment.sourceName()));
			CritInfo *resCrit=new CritInfo(clusteringCriterionWithoutWorldInitOneGaus(config, c1, c2, ss, fs,crit),false,end1);
			
			res.addObject((Object&)*resCrit);	
			start1+=winStep;
			end1+=winStep;
			start2+=winStep;
			end2+=winStep;	
			
		}	
		
	
		/* smoothing */
	/*	for(unsigned long i=1; i<res.size()-1; i++){
			CritInfo &resCrit=(CritInfo&)(res.getObject(i));
			CritInfo &resCritP=(CritInfo&)(res.getObject(i-1));
			CritInfo &resCritN=(CritInfo&)(res.getObject(i+1));
		
			resCrit.setValue(0.25*resCritP.getValue()+0.25*resCritN.getValue()+0.5*resCrit.getValue());
		}	
	*/

           	DoubleVector score_buffer;
           	score_buffer.setSize(2);
           	score_buffer[0 % 2]=((CritInfo&)(res.getObject(0))).getValue();

           	for(unsigned long i=1; i<res.size()-1; i++)
           	{
               		CritInfo &resCrit=(CritInfo&)(res.getObject(i));
               		CritInfo &resCritN=(CritInfo&)(res.getObject(i+1));//right window

               		score_buffer[i % 2]=resCrit.getValue();
               		resCrit.setValue(0.25*score_buffer[(i-1) % 2]+0.25*resCritN.getValue()+0.5*resCrit.getValue());

           	}

		/* to look for maxima in the criterion value curve */
		/* if difference on left and right of a point with neighboor points is over alpha*standard deviation => maxima is found ! */
	
//.........这里部分代码省略.........