comparison Problems/generateAudioDeclippingProblem.m @ 136:1334d2302dd9 ivand_dev

Added Audio declipping problem (problem, reconstruct and example function)

+function data = generateAudioDeclippingProblem(soundfile, clippingLevel, windowSize, overlap, wa, ws, wd, Dict_fun, redundancyFactor)
+%%  Generate Audio Declipping Problem
+%   
+%   CHANGE!!!generateAMT_Learning_Problem is a part of the SMALLbox and generates
+%   a problem that can be used for comparison of Dictionary Learning/Sparse
+%   Representation techniques in automatic music transcription scenario.
+%   The function prompts a user for an audio file (mid, wav, mat) reads it
+%   and generates a spectrogram given fft size (default nfft=4096), analysis
+%   window size (windowSize=2822), and analysis window overlap (overlap =
+%   0.5).
+%   
+%   The output of the function is stucture with following fields:
+%       b - matrix with magnitudes of the spectrogram
+%       f - vector of frequencies at wihch spectrogram is computed
+%       windowSize - analysis window size
+%       overlap - analysis window overlap
+%       fs - sampling frequency
+%       m - number of frequenciy points in spectrogram
+%       n - number of time points in the spectrogram
+%       p - number of dictionary elements to be learned (eg 88 for piano)
+%       notesOriginal - notes of the original audio to be used for
+%                       comparison (if midi of the original exists)
+%       name - name of the audio file to transcribe
+
+%   Centre for Digital Music, Queen Mary, University of London.
+%   This file copyright 2011 Ivan Damnjanovic.
+%
+%   This program is free software; you can redistribute it and/or
+%   modify it under the terms of the GNU General Public License as
+%   published by the Free Software Foundation; either version 2 of the
+%   License, or (at your option) any later version.  See the file
+%   COPYING included with this distribution for more information.
+%  
+%%
+FS=filesep;
+TMPpath=pwd;
+
+if ~ exist( 'soundfile', 'var' ) || isempty(soundfile)
+    %ask for file name 
+    [pathstr1, name, ext, versn] = fileparts(which('SMALLboxSetup.m'));
+    cd([pathstr1,FS,'data',FS,'audio']);
+    [filename,pathname] = uigetfile({'*.mat; *.mid; *.wav'},'Select a file to transcribe');
+    [pathstr, name, ext, versn] = fileparts(filename);
+    data.name=name;
+
+    if strcmp(ext,'.mid')
+        midi=readmidi(filename);
+%         data.notesOriginal=midiInfo(midi);
+        y=midi2audio(midi);
+        wavwrite(y, 44100, 16, 'temp.wav');
+        [x.signal, x.fs, x.nbits]=wavread('temp.wav');
+        delete('temp.wav');
+    elseif strcmp(ext,'.wav')
+%         cd([pathstr1,FS, 'data', FS, 'audio', FS, 'midi']);
+%         filename1=[name, '.mid'];
+%         if exist(filename1, 'file')
+%             midi=readmidi(filename1);
+%             data.notesOriginal=midiInfo(midi);
+%         end
+        cd([pathstr1,FS, 'data', FS, 'audio', FS, 'wav']);
+        [x.signal, x.fs, x.nbits]=wavread(filename);
+    else
+%         cd([pathstr1,FS, 'data', FS, 'audio', FS, 'midi']);
+%         filename1=[name, '.mid'];
+%         if exist(filename1, 'file')
+%             midi=readmidi(filename1);
+%             data.notesOriginal=midiInfo(midi);
+%         end
+        cd([pathstr1,FS, 'data', FS, 'audio', FS, 'mat']);
+        x=load([pathname,filename]);
+    end
+else
+    [x.signal, x.fs, x.nbits]=wavread(soundfile);
+    [pathstr, name, ext, versn] = fileparts(soundfile);
+    data.name=name;
+end
+
+if ~ exist( 'clippingLevel', 'var' ) || isempty(clippingLevel), clippingLevel = 0.6; end
+if ~ exist( 'windowSize', 'var' ) || isempty(windowSize), windowSize = 256; end
+if ~ exist( 'overlap', 'var' ) || isempty(overlap), overlap = 0.5; end
+if ~ exist( 'wa', 'var' ) || isempty(wa), wa = @wRect; end % Analysis window
+if ~ exist( 'ws', 'var' ) || isempty(ws), ws = @wSine; end % Synthesis window
+if ~ exist( 'wd', 'var' ) || isempty(wd), wd = @wRect; end % Weighting window for dictionary atoms
+
+%% preparing signal
+
+[problemData, solutionData] = generateDeclippingProblem(x.signal,clippingLevel);
+
+x_clip = im2colstep(problemData.x,[windowSize 1],[overlap*windowSize 1]);
+x_clip= diag(wa(windowSize)) * x_clip;
+blkMask=im2colstep(double(~problemData.IMiss),[256 1],[128 1]);
+
+%% Building dictionary
+if ~exist( 'redundancyFactor', 'var' ) || isempty(redundancyFactor), redundancyFactor = 2; end % Weighting window for dictionary atoms
+if exist('Dict_fun', 'var')&&~isempty(Dict_fun)
+    param=struct('N', windowSize, 'redundancyFactor', redundancyFactor, 'wd', wd);
+	data.B = Dict_fun(param);
+end
+
+data.b = x_clip;
+data.M = blkMask;
+data.original = solutionData.xClean;
+data.clipped = problemData.x;
+data.clipMask = problemData.IMiss;
+data.clippingLevel = clippingLevel;
+data.windowSize = windowSize;
+data.overlap = overlap;
+data.ws = ws;
+data.wa = wa;
+data.wd = wd;
+
+data.fs = x.fs;
+data.nbits = x.nbits;
+
+[data.m, data.n] = size(x_clip);
+data.p = windowSize*redundancyFactor; %number of dictionary elements 
+
+cd(TMPpath);
+
+end