文件名称:HMMdespeechrecognitionsystem
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利用HMM的方法的三种语音识别算法，希望对大家有所帮助。-use three methods of speech recognition algorithm, we want to help.相关搜索： 语音识别
语音识别算法
语音识别
MATLAB
语音
璇
语音识别算法
语音识别
MATLAB
语音
璇
(系统自动生成,下载前可以参看下载内容)
下载文件列表
HMM(3个)
........\cdhmm(Matlab扩展编程带)
........\.......................\baum.m
........\.......................\getparam.m
........\.......................\hmm.mat
........\.......................\inithmm.m
........\.......................\main.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#
........\......\...\#testHMM.m#
........\......\...\#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~
........\......\...\testHMM.m
........\......\...\testHMM.m~
........\......\...\transmat_train_observed.m
........\......\...\viterbi_path.m
........\......\...\viterbi_path.m~
........\......\hmm_usage.htm
........\......\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
........\cdhmm(Matlab扩展编程带)
........\.......................\baum.m
........\.......................\getparam.m
........\.......................\hmm.mat
........\.......................\inithmm.m
........\.......................\main.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#
........\......\...\#testHMM.m#
........\......\...\#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~
........\......\...\testHMM.m
........\......\...\testHMM.m~
........\......\...\transmat_train_observed.m
........\......\...\viterbi_path.m
........\......\...\viterbi_path.m~
........\......\hmm_usage.htm
........\......\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