Mercurial > hg > camir-aes2014
annotate toolboxes/FullBNT-1.0.7/HMM/README.txt @ 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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wolffd@0 | 1 Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998). |
wolffd@0 | 2 See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details. |
wolffd@0 | 3 |
wolffd@0 | 4 Models |
wolffd@0 | 5 ------ |
wolffd@0 | 6 |
wolffd@0 | 7 dhmm = HMM with discrete output |
wolffd@0 | 8 mhmm = HMM with mixture of Gaussians output; |
wolffd@0 | 9 Use mhmm with M=1 components to simulate an HMM with a single Gaussian output. |
wolffd@0 | 10 |
wolffd@0 | 11 Demos |
wolffd@0 | 12 ----- |
wolffd@0 | 13 |
wolffd@0 | 14 mhmm_em_demo |
wolffd@0 | 15 dhmm_em_demo |
wolffd@0 | 16 dhmm_em_online_demo |
wolffd@0 | 17 fixed_lag_smoother_demo |
wolffd@0 | 18 |
wolffd@0 | 19 References |
wolffd@0 | 20 ----------- |
wolffd@0 | 21 |
wolffd@0 | 22 See "A tutorial on Hidden Markov Models and selected applications in speech recognition", |
wolffd@0 | 23 L. Rabiner, 1989, Proc. IEEE 77(2):257--286. |