view Code/Classifiers/kmeans_HNR_Singing.m @ 4:92ca03a8fa99 tip

Update to ICASSP 2013 benchmark
author Dawn Black
date Wed, 13 Feb 2013 11:02:39 +0000
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function [] = kmeans_HNR_Singing( varargin )

cd 'C:\Users\dawn\Dropbox\TestResults'

DEBUG = 1;
% output results file name
masterFileOutputID = fopen( 'kmeans_Singing_MedianHNR_male01.txt', 'a' );
% input results file name
inputFileName = 'singingMedianHNRStats_male01.txt';

fprintf( masterFileOutputID, '\n RESULTS FILE NAME: %s\n', inputFileName);
inputFileID = fopen( inputFileName );

noOfArguments = length(varargin);

outputFileName = 'individualResults/kmeans_Results_';
resultsFileName = 'kmeans_Results_';
titleName = '';
for i=1 : noOfArguments
    titleName = [ titleName varargin{i} '_'];
    fprintf( masterFileOutputID, '%s_', varargin{i} );
end

outputFileName = [ outputFileName titleName ];
resultsFileName = [ resultsFileName titleName ];

fprintf( masterFileOutputID, '\t' );

outputFileName = [ outputFileName '.txt'];
resultsFileName = [ resultsFileName '.txt'];

fileOutputID = fopen( outputFileName, 'w' );
fileKMeansOutputID = fopen( resultsFileName, 'w' );

% -------------------- get the data from the results file ---------------
lineCount = 0;
fileCount = 0;
data = [];
while( ~(feof(inputFileID)) )
    
    outputValues = [];
    thestr = fgetl(inputFileID);
    fileCount = fileCount + 1;

    % determine whether we have a positive or negative sample
    sampleEmotion( fileCount ) = 'U';
    if( ~(isempty(strfind(thestr,'pos'))))
        % sample is positive
        sampleEmotion( fileCount ) = 'P';
    elseif( ~(isempty(strfind(thestr,'neg'))))
        % sample is negative
        sampleEmotion( fileCount ) = 'N';
    else
        disp('EEEK!');
        pause;
    end

    % determine whether we have a male, female or trans sample
    gender( fileCount ) = '?';
    if( ~(isempty(strfind(thestr,'fem'))))
        % gender is female
        gender( fileCount ) = 'F';
    elseif( ~(isempty(strfind(thestr,'male'))))
        % gender is male
        gender( fileCount ) = 'M';
    elseif( ~(isempty(strfind(thestr,'trans'))))
        % gender is trans
        gender( fileCount ) = 'T';
    else
        disp('EEEK!');
        pause;
    end

    %how many values are in the string?
    spaces = strfind( thestr, ' ' );
    numberstr = thestr( spaces(1) : end ); % chop off the file name  
    vars = sscanf( numberstr, '%f', inf );
    data( fileCount, : ) = vars;
        
    lineCount = lineCount + 1;
    
end
fclose(inputFileID);

% ------------  apply the k-means classifier  ------------------------

noOfClusters = 2; % we are only trying to identify positive and negative emotions


[idx ctrs]=kmeans( data, noOfClusters, 'Replicates',100,...
    'start', 'sample', 'Distance', 'cityblock');

%display results grouped by emotion
fprintf( masterFileOutputID, '\n Emotion grouping \n');
processKMeansResults( 'cityblock', idx, sampleEmotion, fileOutputID, fileKMeansOutputID, masterFileOutputID, titleName, DEBUG );

if(DEBUG == 1)
    disp('press space');
    pause;
end

[idx ctrs]=kmeans( data, noOfClusters, 'Replicates',100,...
    'start', 'sample', 'Distance', 'sqEuclidean');

processKMeansResults( 'sqEuclidean', idx, sampleEmotion, fileOutputID, fileKMeansOutputID, masterFileOutputID, titleName, DEBUG );

if(DEBUG == 1)
    disp('press space');
    pause;
end

%display results grouped by gender
fprintf( masterFileOutputID, '\n Gender grouping \n');
noOfClusters = 3;

[idx ctrs]=kmeans( data, noOfClusters, 'Replicates',100,...
    'start', 'sample', 'Distance', 'cityblock');

processKMeansResults( 'cityblock', idx, gender, fileOutputID, fileKMeansOutputID, masterFileOutputID, titleName, DEBUG );

if(DEBUG == 1)
    disp('press space');
    pause;
end

[idx ctrs]=kmeans( data, noOfClusters, 'Replicates',100,...
    'start', 'sample', 'Distance', 'sqEuclidean');

processKMeansResults( 'sqEuclidean', idx, gender, fileOutputID, fileKMeansOutputID, masterFileOutputID, titleName, DEBUG );

if(DEBUG == 1)
    disp('press space');
    pause;
end


fprintf( fileOutputID, '\n' );
fclose( fileOutputID );
fprintf( fileKMeansOutputID, '\n' );
fclose( fileKMeansOutputID );
fprintf( masterFileOutputID, '\n' );
fclose( masterFileOutputID );

end