HMM1

所属分类:matlab编程
开发工具:matlab
文件大小:799KB
下载次数:824
上传日期:2007-07-26 12:59:54
上 传 者phoneme
说明:  一个HMM的Matlab实现方法,可实现孤立词语音识别
(The Matlab realize a HMM method can realize an isolated word speech recognition)

文件列表:
HMMall (0, 2006-07-10)
HMMall\HMM (0, 2006-07-10)
HMMall\HMM\#fwdback.m# (6896, 2006-02-17)
HMMall\HMM\#mhmm_em.m# (5589, 2006-02-16)
HMMall\HMM\dhmm_em.m (4081, 2005-06-08)
HMMall\HMM\dhmm_em_demo.m (687, 2003-05-04)
HMMall\HMM\dhmm_em_online.m (2376, 2003-05-04)
HMMall\HMM\dhmm_em_online_demo.m (2249, 2003-05-04)
HMMall\HMM\dhmm_logprob.m (640, 2003-05-04)
HMMall\HMM\dhmm_logprob_brute_force.m (552, 2002-05-29)
HMMall\HMM\dhmm_logprob_path.m (448, 2002-05-29)
HMMall\HMM\dhmm_sample.m (408, 2004-05-31)
HMMall\HMM\dhmm_sample_endstate.m (622, 2003-05-04)
HMMall\HMM\fixed_lag_smoother.m (2096, 2003-01-22)
HMMall\HMM\fixed_lag_smoother_demo.m (987, 2005-06-08)
HMMall\HMM\fwdback.m (6896, 2006-02-17)
HMMall\HMM\fwdback.m~ (6518, 2006-02-16)
HMMall\HMM\fwdback_xi.m (6642, 2005-12-08)
HMMall\HMM\fwdprop_backsample.m (1899, 2006-02-23)
HMMall\HMM\fwdprop_backsample.m~ (1898, 2006-02-22)
HMMall\HMM\gausshmm_train_observed.m (1561, 2004-02-12)
HMMall\HMM\herbert.txt~ (10449, 2005-05-12)
HMMall\HMM\mc_sample.m (442, 2004-05-24)
HMMall\HMM\mc_sample_endstate.m (711, 2003-01-22)
HMMall\HMM\mdp_sample.m (490, 2002-05-29)
HMMall\HMM\mhmmParzen_train_observed.m (1203, 2004-02-13)
HMMall\HMM\mhmm_em.m (5610, 2006-02-16)
HMMall\HMM\mhmm_em.m~ (5562, 2004-02-07)
HMMall\HMM\mhmm_em_demo.m (1013, 2003-05-13)
HMMall\HMM\mhmm_logprob.m (960, 2003-05-04)
HMMall\HMM\mhmm_sample.m (1071, 2004-05-25)
HMMall\HMM\mk_leftright_transmat.m (248, 2002-05-29)
HMMall\HMM\mk_rightleft_transmat.m (249, 2002-11-22)
HMMall\HMM\pomdp_sample.m (612, 2003-05-04)
HMMall\HMM\publishHMM.m (32, 2006-07-10)
HMMall\HMM\testHMM.m (138, 2005-06-08)
HMMall\HMM\transmat_train_observed.m (1245, 2004-08-29)
... ...

Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (19***). See http://www.ai.mit.edu/~murphyk/Software/hmm.html for details. Models ------ dhmm = HMM with discrete output mhmm = HMM with mixture of Gaussians output; Use mhmm with M=1 components to simulate an HMM with a single Gaussian output. Demos ----- mhmm_em_demo dhmm_em_demo dhmm_em_online_demo fixed_lag_smoother_demo References ----------- See "A tutorial on Hidden Markov Models and selected applications in speech recognition", L. Rabiner, 1***9, Proc. IEEE 77(2):257--286.

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