function dif_file( idlPath, idlFile, strPath, strFile )
%--------------------------------------------------------------------------
% Error Spectrogram of Audio File
%
% Cooper Baker - 2014
%--------------------------------------------------------------------------
close all;
% Settings
%--------------------------------------------------------------------------
winSize = 512;
overlap = 4;
window = chebwin( winSize, 125 );
name = 'Error Spectrogram';
% Initializations
%--------------------------------------------------------------------------
if any( exist( 'idlFile' ) ~= 1 )
[ idlFile, idlPath ] = uigetfile( '*.wav', 'Ideal Audio File' );
[ strFile, strPath ] = uigetfile( '*.wav', 'Stretched Audio File' );
end
[ idlBuf, sr ] = audioread( [ idlPath, idlFile ] );
[ strBuf, sr ] = audioread( [ strPath, strFile ] );
idlSize = length( idlBuf );
strSize = length( strBuf );
halfWinSize = winSize / 2;
overlapSamps = winSize - ( winSize / overlap );
hopSize = winSize / overlap;
hopMax = length( idlBuf ) - winSize;
idlMsec = ( idlSize / sr ) * 1000;
gridMsec = 500;
gridHops = gridMsec / ( ( ( winSize / overlap ) / sr ) * 1000 );
hopMsec = ( hopSize / sr ) * 1000;
index = 1;
winSum = sum( window );
% crop or pad stretch buffer to match ideal buffer times two
if ( idlSize * 2 ) > strSize
strBuf = [ strBuf ; zeros( ( idlSize * 2 ) - strSize, 1 ) ];
elseif strSize > ( idlSize * 2 )
strBuf = strBuf( 1 : idlSize * 2 );
end
strSize = length( strBuf );
% Normalization
%--------------------------------------------------------------------------
% get file metadata
idlInfo = audioinfo( [ idlPath, idlFile ] );
strInfo = audioinfo( [ strPath, strFile ] );
% get file normalization coefficient
idlFileNorm = str2num( idlInfo.Title );
strFileNorm = str2num( strInfo.Title );
% de-normalize normalized .wav file data
idlRaw = idlBuf / idlFileNorm;
strRaw = strBuf / strFileNorm;
% make hann windows
idlWin = hann( idlSize );
strWin = hann( strSize );
% copy and window files
idlNormWin = idlRaw .* idlWin;
strNormWin = strRaw .* strWin;
% calculate rms of windowed file middles
idlRms = rms( idlNormWin );
strRms = rms( strNormWin );
% calculate normalization scalar
strScale = 1 / ( strRms / idlRms );
% scale stretch buffer to match ideal buffer
idlNorm = idlRaw;
strNorm = strRaw * strScale;
% Analysis
%--------------------------------------------------------------------------
idlGram = spectrogram( idlNorm, window, overlapSamps, winSize, sr );
strGramLong = spectrogram( strNorm, window, overlapSamps, winSize, sr );
idlSize = length( idlGram ) + 1;
% compress stretched array to match ideal array
while index < idlSize;
% calculate stretched array index
strIndex = ( index * 2 - 1 );
% average adjacent pairs of spectra
strGram( :, index ) = ( strGramLong( :, strIndex ) + strGramLong( :, strIndex + 1 ) ) ./ 2;
%increment index
index = index + 1;
end
% calculate magnitude spectra
idlMag = abs( idlGram );
strMag = abs( strGram );
% calculate amplitude spectra
idlAmp = ( idlMag / winSum );
strAmp = ( strMag / winSum );
% calculate sones spectra
idlSones = idlAmp .^ 0.6;
strSones = strAmp .^ 0.6;
% copy spectra to plot arrays
idlPlot = idlSones;
strPlot = strSones;
% calculate ideal plot offset
offset = 0;
offset = abs( min( [ min( idlPlot ) min( strPlot ) ] ) );
% offset plots
idlPlot = idlPlot + offset;
strPlot = strPlot + offset;
% calculate absolute difference between plots (error)
diffPlot = abs( idlPlot - strPlot );
% find maximum value of difference plot
diffMax = max( diffPlot(:) );
% Plot
%--------------------------------------------------------------------------
fontName = 'Times New Roman';
fontSize = 12;
fig = figure( 1 );
set( fig, 'Name', name );
set( fig, 'Position', [ 0 0 800 250 ] );
set( fig, 'defaultAxesFontName', fontName );
set( fig, 'defaultTextFontName', fontName );
colormap( [ [ 1 : -0.2/64 : 0.8 ]; ( [ 1 : -0.5/64 : 0.5 ] .^ 10 ) ; [ 1 : -0.5/64 : 0.5 ] .^ 20 ]' );
% spectrogram
imagesc( diffPlot );
caxis( 'auto' );
axis xy;
% grid and labels
axis( [ 0 length( diffPlot ) 1 halfWinSize ] );
set( gca, 'XTick', [ 0 : gridHops : length( diffPlot ) ] );
set( gca, 'XTickLabel', [ 0 : gridMsec : idlMsec ] );
set( gca, 'YTick', [ 1 : ( halfWinSize / ( sr / 4000 ) ) : halfWinSize ] );
set( gca, 'YTickLabel', [ 0 : 2000 : ( sr / 2 ) ] );
xlabel( 'Milliseconds' );
ylabel( 'Frequency' );
% legend
bar = colorbar( 'location', 'East' );
set( get( bar, 'YLabel'), 'String', 'Sones' );
set( get( bar, 'YLabel'), 'Position', [ 0.75 ( diffMax * 0.1 ) ] );
% tighten up figure borders
tightfig();
% Save Data to Files
%--------------------------------------------------------------------------
% get file name
[ a, fileName, b ] = fileparts( strFile );
% write plot to file
hgexport( fig, [ fileName, '.spect.eps' ] );
% write error data to files
csvFile = sprintf( '%s.spect.csv', fileName );
csvwrite( csvFile, diffPlot );
% EOF
%--------------------------------------------------------------------------
% Error Spectrogram of Audio File
%
% Cooper Baker - 2014
%--------------------------------------------------------------------------
close all;
% Settings
%--------------------------------------------------------------------------
winSize = 512;
overlap = 4;
window = chebwin( winSize, 125 );
name = 'Error Spectrogram';
% Initializations
%--------------------------------------------------------------------------
if any( exist( 'idlFile' ) ~= 1 )
[ idlFile, idlPath ] = uigetfile( '*.wav', 'Ideal Audio File' );
[ strFile, strPath ] = uigetfile( '*.wav', 'Stretched Audio File' );
end
[ idlBuf, sr ] = audioread( [ idlPath, idlFile ] );
[ strBuf, sr ] = audioread( [ strPath, strFile ] );
idlSize = length( idlBuf );
strSize = length( strBuf );
halfWinSize = winSize / 2;
overlapSamps = winSize - ( winSize / overlap );
hopSize = winSize / overlap;
hopMax = length( idlBuf ) - winSize;
idlMsec = ( idlSize / sr ) * 1000;
gridMsec = 500;
gridHops = gridMsec / ( ( ( winSize / overlap ) / sr ) * 1000 );
hopMsec = ( hopSize / sr ) * 1000;
index = 1;
winSum = sum( window );
% crop or pad stretch buffer to match ideal buffer times two
if ( idlSize * 2 ) > strSize
strBuf = [ strBuf ; zeros( ( idlSize * 2 ) - strSize, 1 ) ];
elseif strSize > ( idlSize * 2 )
strBuf = strBuf( 1 : idlSize * 2 );
end
strSize = length( strBuf );
% Normalization
%--------------------------------------------------------------------------
% get file metadata
idlInfo = audioinfo( [ idlPath, idlFile ] );
strInfo = audioinfo( [ strPath, strFile ] );
% get file normalization coefficient
idlFileNorm = str2num( idlInfo.Title );
strFileNorm = str2num( strInfo.Title );
% de-normalize normalized .wav file data
idlRaw = idlBuf / idlFileNorm;
strRaw = strBuf / strFileNorm;
% make hann windows
idlWin = hann( idlSize );
strWin = hann( strSize );
% copy and window files
idlNormWin = idlRaw .* idlWin;
strNormWin = strRaw .* strWin;
% calculate rms of windowed file middles
idlRms = rms( idlNormWin );
strRms = rms( strNormWin );
% calculate normalization scalar
strScale = 1 / ( strRms / idlRms );
% scale stretch buffer to match ideal buffer
idlNorm = idlRaw;
strNorm = strRaw * strScale;
% Analysis
%--------------------------------------------------------------------------
idlGram = spectrogram( idlNorm, window, overlapSamps, winSize, sr );
strGramLong = spectrogram( strNorm, window, overlapSamps, winSize, sr );
idlSize = length( idlGram ) + 1;
% compress stretched array to match ideal array
while index < idlSize;
% calculate stretched array index
strIndex = ( index * 2 - 1 );
% average adjacent pairs of spectra
strGram( :, index ) = ( strGramLong( :, strIndex ) + strGramLong( :, strIndex + 1 ) ) ./ 2;
%increment index
index = index + 1;
end
% calculate magnitude spectra
idlMag = abs( idlGram );
strMag = abs( strGram );
% calculate amplitude spectra
idlAmp = ( idlMag / winSum );
strAmp = ( strMag / winSum );
% calculate sones spectra
idlSones = idlAmp .^ 0.6;
strSones = strAmp .^ 0.6;
% copy spectra to plot arrays
idlPlot = idlSones;
strPlot = strSones;
% calculate ideal plot offset
offset = 0;
offset = abs( min( [ min( idlPlot ) min( strPlot ) ] ) );
% offset plots
idlPlot = idlPlot + offset;
strPlot = strPlot + offset;
% calculate absolute difference between plots (error)
diffPlot = abs( idlPlot - strPlot );
% find maximum value of difference plot
diffMax = max( diffPlot(:) );
% Plot
%--------------------------------------------------------------------------
fontName = 'Times New Roman';
fontSize = 12;
fig = figure( 1 );
set( fig, 'Name', name );
set( fig, 'Position', [ 0 0 800 250 ] );
set( fig, 'defaultAxesFontName', fontName );
set( fig, 'defaultTextFontName', fontName );
colormap( [ [ 1 : -0.2/64 : 0.8 ]; ( [ 1 : -0.5/64 : 0.5 ] .^ 10 ) ; [ 1 : -0.5/64 : 0.5 ] .^ 20 ]' );
% spectrogram
imagesc( diffPlot );
caxis( 'auto' );
axis xy;
% grid and labels
axis( [ 0 length( diffPlot ) 1 halfWinSize ] );
set( gca, 'XTick', [ 0 : gridHops : length( diffPlot ) ] );
set( gca, 'XTickLabel', [ 0 : gridMsec : idlMsec ] );
set( gca, 'YTick', [ 1 : ( halfWinSize / ( sr / 4000 ) ) : halfWinSize ] );
set( gca, 'YTickLabel', [ 0 : 2000 : ( sr / 2 ) ] );
xlabel( 'Milliseconds' );
ylabel( 'Frequency' );
% legend
bar = colorbar( 'location', 'East' );
set( get( bar, 'YLabel'), 'String', 'Sones' );
set( get( bar, 'YLabel'), 'Position', [ 0.75 ( diffMax * 0.1 ) ] );
% tighten up figure borders
tightfig();
% Save Data to Files
%--------------------------------------------------------------------------
% get file name
[ a, fileName, b ] = fileparts( strFile );
% write plot to file
hgexport( fig, [ fileName, '.spect.eps' ] );
% write error data to files
csvFile = sprintf( '%s.spect.csv', fileName );
csvwrite( csvFile, diffPlot );
% EOF