资 源 简 介
包含整体HMM工具箱，可以直接进行语音识别运算
Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
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.
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文 件 列 表
HMM
#fwdback.m#
#mhmm_em.m#
#README.txt#
dhmm_em.m
dhmm_em_demo.m
dhmm_em_online.m
dhmm_em_online_demo.m
dhmm_logprob.m
dhmm_logprob_brute_force.m
dhmm_logprob_path.m
dhmm_sample.m
dhmm_sample_endstate.m
em_converged.m
eval_pdf_cond_multinomial.m
fixed_lag_smoother.m
fixed_lag_smoother_demo.m
fwdback.m
fwdback.m~
fwdback_xi.m
fwdprop_backsample.m
fwdprop_backsample.m~
gausshmm_train_observed.m
herbert.txt~
mc_sample.m
mc_sample_endstate.m
mdp_sample.m
mhmmParzen_train_observed.m
mhmm_em.m
mhmm_em.m~
mhmm_em_demo.m
mhmm_logprob.m
mhmm_sample.m
mk_leftright_transmat.m
mk_rightleft_transmat.m
mk_stochastic.m
normalise.m
pomdp_sample.m
process_options.m
publishHMM.m
README.txt
README.txt~
testHMM.m
transmat_train_observed.m
viterbi_path.m
