Description: Contains examples, and detailed description of the role of each subroutine. Speech recognition based on hidden Markov source,
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Contains examples-HMM
.....................\Examples
.....................\........\fixed_lag_demo.m
.....................\........\learn_dhmm_demo.m
.....................\........\learn_mhmm_demo.m
.....................\........\online_em_demo.m
.....................\Old
.....................\...\example1.m
.....................\...\fixed_lag_smoother.m
.....................\...\learn_hmm.m
.....................\...\online_em.m
.....................\...\online_em_hmm_demo.m
.....................\...\online_em_pomdp_demo.m
.....................\...\sample_markov_chain.m
.....................\README
.....................\approxeq.m
.....................\consist.m
.....................\dist2.m
.....................\em_converged.m
.....................\enumerate_loglik.m
.....................\fhmm_infer.m
.....................\fixed_lag_smoother.m
.....................\forwards.m
.....................\forwards_backwards.m
.....................\gaussian_prob.m
.....................\gmm.m
.....................\gmminit.m
.....................\init_mhmm.m
.....................\kmeans.m
.....................\learn_hmm.m
.....................\learn_mhmm.m
.....................\mk_dhmm_obs_lik.m
.....................\mk_fhmm_topology.m
.....................\mk_ghmm_obs_lik.m
.....................\mk_mhmm_obs_lik.m
.....................\mk_stochastic.m
.....................\normalise.m
.....................\online_em.m
.....................\prob_path.m
.....................\sample_dhmm.m
.....................\sample_discrete.m
.....................\sample_mc.m
.....................\sample_mdp.m
.....................\sample_mhmm.m
.....................\sample_pomdp.m
.....................\viterbi_path.m
.....................\说明.txt
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