annotate src/matlab/istft.m @ 0:c52bc3e8d3ad tip

user: boblsturm
branch 'default'
added README.md
added assets/.DS_Store
added assets/playButton.jpg
added assets/stopButton.png
added assets/swapButton.jpg
added data/.DS_Store
added data/fiveoctaves.mp3
added data/glock2.wav
added data/sinScale.mp3
added data/speech_female.mp3
added data/sweep.wav
added nimfks.m.lnk
added src/.DS_Store
added src/matlab/.DS_Store
added src/matlab/AnalysisCache.m
added src/matlab/CSS.m
added src/matlab/DataHash.m
added src/matlab/ExistsInCache.m
added src/matlab/KLDivCost.m
added src/matlab/LoadFromCache.m
added src/matlab/SA_B_NMF.m
added src/matlab/SaveInCache.m
added src/matlab/Sound.m
added src/matlab/SynthesisCache.m
added src/matlab/chromagram_E.m
added src/matlab/chromagram_IF.m
added src/matlab/chromagram_P.m
added src/matlab/chromsynth.m
added src/matlab/computeSTFTFeat.m
added src/matlab/controller.m
added src/matlab/decibelSliderReleaseCallback.m
added src/matlab/drawClickCallBack.m
added src/matlab/fft2chromamx.m
added src/matlab/hz2octs.m
added src/matlab/ifgram.m
added src/matlab/ifptrack.m
added src/matlab/istft.m
added src/matlab/nimfks.fig
added src/matlab/nimfks.m
added src/matlab/nmfFn.m
added src/matlab/nmf_beta.m
added src/matlab/nmf_divergence.m
added src/matlab/nmf_euclidean.m
added src/matlab/prune_corpus.m
added src/matlab/rot_kernel.m
added src/matlab/templateAdditionResynth.m
added src/matlab/templateDelCb.m
added src/matlab/templateScrollCb.m

function y = istft(spec,parameter, varargin)
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Name: istft
% Date: 03-2014
% Programmer: Jonathan Driedger
% http://www.audiolabs-erlangen.de/resources/MIR/TSMtoolbox/
%
% Computing the 'inverse' of the stft according to the paper "Signal 
% Estimation from Modified Short-Time Fourier Transform" by Griffin and
% Lim.
%
% Input:   spec             a complex spectrogram generated by stft.
%          parameter.
%             synHop        hop size of the synthesis window.
%             win           the synthesis window.
%             zeroPad       number of zeros that were padded to the
%                           window to increase the fft size and therefore
%                           the frequency resolution.
%             numOfIter     number of iterations the algorithm should
%                           perform to adapt the phase.
%             origSigLen    original length of the audio signal such that
%                           the output can be trimmed accordingly.
%             restoreEnergy when windowing the synthesis frames, there is a
%                           potential for some energy loss. This option
%                           will rescale every windowed synthesis frame to
%                           compensate for this energy leakage.
%             fftShift      in case the stft was computed with an fftShift,
%                           setting this parameter to 1 will compensate for
%                           that by applying the same shifting operation 
%                           again to each frame after the ifft.
%
% Output:  y                the time-domain signal.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Reference: 
% If you use the 'TSM toolbox' please refer to:
% [DM14] Jonathan Driedger, Meinard Mueller
%        TSM Toolbox: MATLAB Implementations of Time-Scale Modification 
%        Algorithms
%        Proceedings of the 17th International Conference on Digital Audio  
%        Effects, Erlangen, Germany, 2014.
%
% License:
% This file is part of 'TSM toolbox'.
% 
% 'TSM toolbox' is free software: you can redistribute it and/or modify it
% under the terms of the GNU General Public License as published by the
% the Free Software Foundation, either version 3 of the License, or (at
% your option) any later version.
% 
% 'TSM toolbox' is distributed in the hope that it will be useful, but
% WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General
% Public License for more details.
% 
% You should have received a copy of the GNU General Public License along
% with 'TSM toolbox'. If not, see http://www.gnu.org/licenses/.
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% check parameters
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if nargin<2
    parameter=[];
end

if ~isfield(parameter,'synHop')
    parameter.synHop = 2048;
end
if ~isfield(parameter,'win')
    parameter.win = win(4096,2); % hann window
end
if ~isfield(parameter,'zeroPad')
    parameter.zeroPad = 0;
end
if ~isfield(parameter,'numOfIter')
    parameter.numOfIter = 1;
end
if ~isfield(parameter,'origSigLen')
    parameter.origSigLen = -1; % no trimming
end
if ~isfield(parameter,'restoreEnergy')
    parameter.restoreEnergy = 0;
end
if ~isfield(parameter,'fftShift')
    parameter.fftShift = 0;
end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% some pre calculations
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
numOfFrames = size(spec,2);
numOfIter = parameter.numOfIter;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% audio calculation
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% first iteration
Yi = spec;
yi = LSEE_MSTFT(Yi,parameter);

% remaining iterations
parStft.win = parameter.win;
parStft.numOfFrames = numOfFrames;
parStft.zeroPad = parameter.zeroPad;
parStft.anaHop = parameter.synHop;
for j = 2 : numOfIter
    Yi = abs(spec) .* exp(1j*angle(stft(yi,parStft)));
    yi = LSEE_MSTFT(Yi,parameter);
end
y = yi';
y = y./max(y);

% if the original Length of the signal is known, also remove the zero
% padding at the end
if parameter.origSigLen > 0
    y = y(1:parameter.origSigLen);
end

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% the Griffin Lim procedure
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function x = LSEE_MSTFT(X,parameter)
% some pre calculations
w = parameter.win;
w = w(:);
zp = parameter.zeroPad;
w = [zeros(floor(zp/2),1);w;zeros(floor(zp/2),1)];
winLen = length(w);
winLenHalf = round(winLen/2);
synHop = parameter.synHop;
numOfFrames = size(X,2);
winPos = (0:numOfFrames-1) * synHop + 1;
signalLength = winPos(end) + winLen - 1;

x = zeros(signalLength,1); % resynthesized signal
ow = zeros(signalLength,1); % sum of the overlapping windows
for i = 1 : numOfFrames
    currSpec = X(:,i);
    
    % add the conjugate complex symmetric upper half of the spectrum
    Xi = [currSpec;conj(currSpec(end-1:-1:2))];
    xi = real(ifft(Xi));
    if parameter.fftShift == 1
        xi = fftshift(xi);
    end
    xiw = xi .* w;
    
    if parameter.restoreEnergy == 1
        xiEnergy = sum(abs(xi));
        xiwEnergy = sum(abs(xiw));
        xiw = xiw * (xiEnergy/(xiwEnergy+eps));
    end
    
    x(winPos(i):winPos(i)+winLen-1) = ...
        x(winPos(i):winPos(i)+winLen-1) + xiw;
    
    ow(winPos(i):winPos(i)+winLen-1) = ...
        ow(winPos(i):winPos(i)+winLen-1) + w.^2;
end
ow(ow<10^-3) = 1; % avoid potential division by zero
x = x ./ ow;

% knowing the zeropads that were added in the stft computation, we can
% remove them again now. But since we do not know exactly how many
% zeros were padded at the end of the signal, it is only safe to remove
% winLenHalf zeros.
x = x(winLenHalf+1:end-winLenHalf);
end