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利用HMM的方法的三种语音识别算法
运行环境: Win9x/NT/2000/XP/2003 文件大小: 1504 K
软件等级: ★★★ 软件类别: 
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软件添加: 审核:admin 录入:admin 添加时间: 2007-5-9 11:16:44
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::软件简介::

文件列表:

  HMM(3)

  ........\cdhmm(Matlab扩展编程带)

  ........\.......................\baum.m

  ........\.......................\getparam.m

  ........\.......................\hmm.mat

  ........\.......................\inithmm.m

  ........\.......................\mfcc.m

  ........\.......................\mixture.m

  ........\.......................\pdf.m

  ........\.......................\recog.m

  ........\.......................\samples.mat

  ........\.......................\train.m

  ........\.......................\vad.m

  ........\.......................\viterbi.m

  ........\HMMall

  ........\......\HMM

  ........\......\...\#dhmm_em.m#

  ........\......\...\#fwdback.m#

  ........\......\...\#README.txt#

  ........\......\...\#viterbi_path.m#

  ........\......\...\dhmm_em.m

  ........\......\...\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

  ........\......\...\fixed_lag_smoother.m

  ........\......\...\fixed_lag_smoother_demo.m

  ........\......\...\fixed_lag_smoother_demo.m~

  ........\......\...\fwdback.m

  ........\......\...\fwdback.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_demo.m

  ........\......\...\mhmm_logprob.m

  ........\......\...\mhmm_sample.m

  ........\......\...\mk_leftright_transmat.m

  ........\......\...\mk_rightleft_transmat.m

  ........\......\...\pomdp_sample.m

  ........\......\...\README.txt

  ........\......\...\README.txt~

  ........\......\...\transmat_train_observed.m

  ........\......\...\viterbi_path.m

  ........\......\...\viterbi_path.m~

  ........\......\KPMstats

  ........\......\........\#histCmpChi2.m#

  ........\......\........\beta_sample.m

  ........\......\........\chisquared_prob.m

  ........\......\........\chisquared_readme.txt

  ........\......\........\chisquared_table.m

  ........\......\........\clg_Mstep.m

  ........\......\........\clg_Mstep_simple.m

  ........\......\........\clg_prob.m

  ........\......\........\condGaussToJoint.m

  ........\......\........\condgaussTrainObserved.m

  ........\......\........\condgauss_sample.m

  ........\......\........\cond_indep_fisher_z.m

  ........\......\........\cwr_demo.m

  ........\......\........\cwr_em.m

  ........\......\........\cwr_predict.m

  ........\......\........\cwr_prob.m

  ........\......\........\cwr_readme.txt

  ........\......\........\cwr_test.m

  ........\......\........\dirichletpdf.m

  ........\......\........\dirichletrnd.m

  ........\......\........\dirichlet_sample.m

  ........\......\........\distchck.m

  ........\......\........\eigdec.m

  ........\......\........\est_transmat.m

  ........\......\........\fit_partitioned_model.m

  ........\......\........\gamma_sample.m

  ........\......\........\gaussian_prob.m

  ........\......\........\gaussian_sample.m

  ........\......\........\histCmpChi2.m

  ........\......\........\histCmpChi2.m~

  ........\......\........\KLgauss.m

  ........\......\........\linear_regression.m

  ........\......\........\logist2.m

  ........\......\........\logist2Apply.m

  ........\......\........\logist2Fit.m

  ........\......\........\logist2FitRegularized.m

  ........\......\........\logistK.m

  ... ...

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