comparison Problems/generateAudioDeclippingProblem.m @ 140:31d2864dfdd4 ivand_dev

Audio Impainting additional constraints with cvx added

 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
+%   generateAudioDeclippingProblem is part of the SMALLbox [1] and generates
+%   Audio declipping is a problem proposed in Audio Inpaining Toolbox and
+%   in [2]. 
+%
+%   [1] I. Damnjanovic, M. E. P. Davies, and M. P. Plumbley "SMALLbox - an 
+%   evaluation framework for sparse representations and dictionary 
+%   learning algorithms," V. Vigneron et al. (Eds.): LVA/ICA 2010, 
+%   Springer-Verlag, Berlin, Germany, LNCS 6365, pp. 418-425
+%   [2] A. Adler, V. Emiya, M. G. Jafari, M. Elad, R. Gribonval, and M. D.
+%   Plumbley, “Audio Inpainting,” submitted to IEEE Trans. Audio, Speech,
+%   and Lang. Proc., 2011, http://hal.inria.fr/inria-00577079/en/.
+
 
 %   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