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Title: HMM Download
 Description: HMM speech recognition, text-related or text-independent speaker model are used
 Downloaders recently: [More information of uploader jfjxxgcdx]
  • [HMM] - C language used to write their own on th
  • [speeker] - speaker recognition matlab code
  • [hmm] - speech recognition using hidden markov m
  • [HMM] - failed to translate
  • [HMM] - : In order to stress variation in the ro
  • [mfcc_shibie] - hmm mfcc
  • [ch13] - Speaker-HMM speech recognition algorithm
  • [HMM_tagger] - HMM pos-tagger, a part of speech tagging
  • [Based-on-SVM-speaker-recognition] - SVM-based text independent speaker recog
  • [HMM] - The model includes two procedures: 1 seq
File list (Check if you may need any files):
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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