Mercurial > hg > smallbox
view Problems/generateAMT_Learning_Problem.m @ 143:8d866d96f006
changes to the merge
author | Ivan <ivan.damnjanovic@eecs.qmul.ac.uk> |
---|---|
date | Tue, 26 Jul 2011 15:13:29 +0100 |
parents | 8e660fd14774 |
children | 9c418bea7f6a |
line wrap: on
line source
function data = generateAMT_Learning_Problem(nfft, windowSize, overlap) %% Generate Automatic Music Transcription Problem % % 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 2009 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; if ~ exist( 'nfft', 'var' ) || isempty(nfft), nfft = 4096; end if ~ exist( 'windowSize', 'var' ) || isempty(windowSize), windowSize = 2822; end if ~ exist( 'overlap', 'var' ) || isempty(overlap), overlap = 0.5; end %% %ask for file name TMPpath=pwd; [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; data.notesOriginal=[]; 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 %% [X, frX]=spectrogram(x.signal, hanning(windowSize), overlap*windowSize, nfft, x.fs); %% data.b=abs(X); data.f=frX; data.windowSize=windowSize; data.overlap=overlap; data.fs=x.fs; data.m=size(X,1); data.n=size(X,2); data.p=88; %number of dictionary elements (ie notes to recover) cd(TMPpath); end