dawn@1: function [vuv] = detect_VoicedUnvoiced( sampleWavFileName, OVERWRITE )
dawn@0: 
dawn@0: sampleFileName = sampleWavFileName( 1 : length( sampleWavFileName ) - 4 );
dawn@0: fileName = [ sampleFileName '_VUV.txt'];
dawn@0: fileID = fopen( fileName );
dawn@0: % 
dawn@1: if( (fileID < 0) || (OVERWRITE) )
dawn@0:     %---------------- GET THE SILENT FRAME VALUES -------------------
dawn@0:     
dawn@0:     % only wish to consider pitch values from voiced frames.
dawn@0:     % silent and unvoiced frames will produce pitch values that
dawn@0:     % are random and therefore will bias our results
Dawn@4:     segmentFrames = detect_Silence( [sampleFileName '.wav'], 0 );
dawn@0: 
dawn@0:     % remove the silent frames
dawn@1:     [x, fs, frameLength, noOfFrames] = openFile(  [ sampleFileName '.wav' ] ); 
Dawn@4:     [ silentFrames ] = getSilentDataArray( segmentFrames, noOfFrames );
dawn@0:     
dawn@0:     % [vuv] = voicingByClustering( nonSilentAudio, fs, noOfFrames, frameLength );
dawn@0:     [vuv] = calculate_VoicedUnvoicedDecision( sampleFileName, x, fs, frameLength, noOfFrames, silentFrames );
dawn@0: 
dawn@0:     noOfValidFrames = length(vuv);
dawn@0: 
dawn@0: %     plotAudioFrameByType( nonSilentAudio, noOfValidFrames, vuv, frameLength );
dawn@0: %     fclose( fileID );
dawn@0:     fileID = fopen( fileName, 'w');
dawn@0:     for i = 1 : length(vuv)
dawn@0:         fprintf(fileID,'%d %d \n', i, vuv(i));
dawn@0:     end
dawn@0:     fclose( fileID );
dawn@0:     fileID = fopen( fileName );
dawn@0: end
dawn@0: 
dawn@0: vuv = fscanf( fileID, '%d', inf );
dawn@0: vuv = vuv( 2:2:end );
dawn@0: 
dawn@0: fclose( fileID );