文件名称:HMM

  • 所属分类:
  • 软件工程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 758kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • viv****
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

介绍说明--下载内容均来自于网络,请自行研究使用

HMM语音识别,文本相关或文本无关均使用的说话人模型-HMM speech recognition, text-related or text-independent speaker model are used
(系统自动生成,下载前可以参看下载内容)

下载文件列表

HMM\HMMall\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

...\......\...\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

...\......\...\pomdp_sample.m

...\......\...\publishHMM.m

...\......\...\README.txt

...\......\...\README.txt~

...\......\...\testHMM.m

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

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

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

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

...\......\........\chisquared_histo.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

...\......\........\convertBinaryLabels.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_paritioned_model_testfn.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

...\......\........\logist2ApplyRegularized.m

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

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

...\......\........\logistK.m

...\......\........\logistK_eval.m

...\......\........\marginalize_gaussian.m

...\......\........\matrix_normal_pdf.m

...\......\........\matrix_T_pdf.m

...\......\........\mc_stat_distrib.m

...\......\........\mixgauss_classifier_apply.m

...\......\........\mixgauss_classifier_train.m

...\......\........\mixgauss_em.m

...\......\........\mixgauss_init.m

...\......\........\mixgauss_Mstep.m

...\......\........\mixgauss_prob.m

...\......\........\mixgauss_prob_test.m

...\......\........\mixgauss_sample.m

...\......\........\mkPolyFvec.m

...\......\........\mk_unit_norm.m

...\......\........\multinomial_prob.m

...\......\........\multinomial_sample.m

...\......\........\multipdf.m

...\......\........\multirnd.m

...\......\........\normal_coef.m

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