annotate src/matlab/nmf_euclidean.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
author boblsturm
date Sun, 18 Jun 2017 06:26:13 -0400
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boblsturm@0 1 function [Y, cost] = nmf_euclidean(V, W, varargin)
boblsturm@0 2
boblsturm@0 3 if nargin > 2
boblsturm@0 4 nmf_params = varargin{1};
boblsturm@0 5 L = nmf_params.Iterations;
boblsturm@0 6 convergence = nmf_params.Convergence_criteria;
boblsturm@0 7 r = nmf_params.Repition_restriction;
boblsturm@0 8 p = nmf_params.Polyphony_restriction;
boblsturm@0 9 c = nmf_params.Continuity_enhancement;
boblsturm@0 10 rot = nmf_params.Continuity_enhancement_rot;
boblsturm@0 11 pattern = nmf_params.Diagonal_pattern;
boblsturm@0 12 endtime = nmf_params.Modification_application;
boblsturm@0 13
boblsturm@0 14 if nmf_params.Random_seed <= 0
boblsturm@0 15 rng('shuffle');
boblsturm@0 16 else
boblsturm@0 17 rng(nmf_params.Random_seed);
boblsturm@0 18 end
boblsturm@0 19 elseif nargin == 2
boblsturm@0 20 L = 10;
boblsturm@0 21 convergence = 0;
boblsturm@0 22 r = 3;
boblsturm@0 23 p = 10;
boblsturm@0 24 c = 3;
boblsturm@0 25 pattern = 'Diagonal';
boblsturm@0 26 endtime = false;
boblsturm@0 27 rng('shuffle');
boblsturm@0 28 end
boblsturm@0 29
boblsturm@0 30 waitbarHandle = waitbar(0, 'Starting NMF synthesis...');
boblsturm@0 31
boblsturm@0 32 cost=0;
boblsturm@0 33 targetDim=size(V);
boblsturm@0 34 sourceDim=size(W);
boblsturm@0 35 K=sourceDim(2);
boblsturm@0 36 M=targetDim(2);
boblsturm@0 37
boblsturm@0 38 H=random('unif',0, 1, K, M);
boblsturm@0 39
boblsturm@0 40 num=W'*V;
boblsturm@0 41 WTW = W'*W;
boblsturm@0 42
boblsturm@0 43 for l=1:L-1
boblsturm@0 44 waitbar(l/(L-1), waitbarHandle, ['Computing approximation...Iteration: ', num2str(l), '/', num2str(L-1)])
boblsturm@0 45
boblsturm@0 46 den=WTW*H;
boblsturm@0 47 H=H.*(num./den);
boblsturm@0 48 H(isnan(H))=0;
boblsturm@0 49
boblsturm@0 50 if((r > 0 && ~endtime) || (r > 0 && endtime && l==L-1))
boblsturm@0 51 waitbar(l/(L-1), waitbarHandle, ['Repition Restriction...Iteration: ', num2str(l), '/', num2str(L-1)])
boblsturm@0 52 for k=1:K
boblsturm@0 53 %Updating H
boblsturm@0 54 for m=1:M
boblsturm@0 55 if(m>r && (m+r)<=M && H(k,m)==max(H(k,m-r:m+r)))
boblsturm@0 56 R(k,m)=H(k,m);
boblsturm@0 57 else
boblsturm@0 58 R(k,m)=H(k,m)*(1-(l+1)/L);
boblsturm@0 59 end
boblsturm@0 60 end
boblsturm@0 61 end
boblsturm@0 62
boblsturm@0 63 H = R;
boblsturm@0 64 end
boblsturm@0 65
boblsturm@0 66 if((p > 0 && ~endtime) || (p > 0 && endtime && l==L-1))
boblsturm@0 67 waitbar(l/(L-1), waitbarHandle, ['Polyphony Restriction...Iteration: ', num2str(l), '/', num2str(L-1)])
boblsturm@0 68 P = zeros(size(H));
boblsturm@0 69 mask = zeros(size(H,1),1);
boblsturm@0 70 for m = 1:size(H, 2)
boblsturm@0 71 [~, sortedIndices] = sort(H(:, m),'descend');
boblsturm@0 72 mask(sortedIndices(1:p)) = 1;
boblsturm@0 73 mask(sortedIndices(p+1:end)) = (1-(l+1)/L);
boblsturm@0 74 P(:,m)=H(:,m).*mask;
boblsturm@0 75 end
boblsturm@0 76 H = P;
boblsturm@0 77 end
boblsturm@0 78
boblsturm@0 79 if((c > 0 && ~endtime) || (c > 0 && endtime && l==L-1))
boblsturm@0 80 waitbar(l/(L-1), waitbarHandle, ['Continuity Enhancement...Iteration: ', num2str(l), '/', num2str(L-1)])
boblsturm@0 81 switch pattern
boblsturm@0 82 case 'Diagonal'
boblsturm@0 83 C = conv2(H, rot_kernel( eye(c), rot ), 'same'); %Default
boblsturm@0 84 case 'Reverse'
boblsturm@0 85 C = conv2(H, flip(eye(c)), 'same'); %Reverse
boblsturm@0 86 case 'Blur'
boblsturm@0 87 C = conv2(H, flip(ones(c)), 'same'); %Blurring
boblsturm@0 88 case 'Vertical'
boblsturm@0 89 M = zeros(c, c); %Vertical
boblsturm@0 90 M(:, floor(c/2)) = 1;
boblsturm@0 91 C = conv2(P, M, 'same');
boblsturm@0 92 end
boblsturm@0 93 H = C;
boblsturm@0 94 end
boblsturm@0 95
boblsturm@0 96 if ~endtime
boblsturm@0 97 den=WTW*H;
boblsturm@0 98 H=H.*(num./den);
boblsturm@0 99 H(isnan(H))=0;
boblsturm@0 100 end
boblsturm@0 101
boblsturm@0 102 cost(l)=norm(V-W*H, 'fro'); %Frobenius norm of a matrix
boblsturm@0 103 if(l > 5 && (cost(l) > cost(l-1) || abs(((cost(l)-cost(l-1)))/max(cost))<convergence))
boblsturm@0 104 break;
boblsturm@0 105 end
boblsturm@0 106 end
boblsturm@0 107
boblsturm@0 108 fprintf('Iterations: %i/%i\n', l, L);
boblsturm@0 109 fprintf('Convergence Criteria: %i\n', convergence*100);
boblsturm@0 110 fprintf('Repitition: %i\n', r);
boblsturm@0 111 fprintf('Polyphony: %i\n', p);
boblsturm@0 112 fprintf('Continuity: %i\n', c);
boblsturm@0 113
boblsturm@0 114 Y=H;
boblsturm@0 115 Y = Y./max(max(Y));
boblsturm@0 116
boblsturm@0 117 close(waitbarHandle);
boblsturm@0 118 end