Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/netlab3.3/mdn2gmm.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function gmmmixes = mdn2gmm(mdnmixes) | |
2 %MDN2GMM Converts an MDN mixture data structure to array of GMMs. | |
3 % | |
4 % Description | |
5 % GMMMIXES = MDN2GMM(MDNMIXES) takes an MDN mixture data structure | |
6 % MDNMIXES containing three matrices (for priors, centres and | |
7 % variances) where each row represents the corresponding parameter | |
8 % values for a different mixture model and creates an array of GMMs. | |
9 % These can then be used with the standard Netlab Gaussian mixture | |
10 % model functions. | |
11 % | |
12 % See also | |
13 % GMM, MDN, MDNFWD | |
14 % | |
15 | |
16 % Copyright (c) Ian T Nabney (1996-2001) | |
17 % David J Evans (1998) | |
18 | |
19 % Check argument for consistency | |
20 errstring = consist(mdnmixes, 'mdnmixes'); | |
21 if ~isempty(errstring) | |
22 error(errstring); | |
23 end | |
24 | |
25 nmixes = size(mdnmixes.centres, 1); | |
26 % Construct ndata structures containing the mixture model information. | |
27 % First allocate the memory. | |
28 tempmix = gmm(mdnmixes.dim_target, mdnmixes.ncentres, 'spherical'); | |
29 f = fieldnames(tempmix); | |
30 gmmmixes = cell(size(f, 1), 1, nmixes); | |
31 gmmmixes = cell2struct(gmmmixes, f,1); | |
32 | |
33 % Then fill each structure in turn using gmmunpak. Assume that spherical | |
34 % covariance structure is used. | |
35 for i = 1:nmixes | |
36 centres = reshape(mdnmixes.centres(i, :), mdnmixes.dim_target, ... | |
37 mdnmixes.ncentres)'; | |
38 gmmmixes(i) = gmmunpak(tempmix, [mdnmixes.mixcoeffs(i,:), ... | |
39 centres(:)', mdnmixes.covars(i,:)]); | |
40 end | |
41 |