this code contain hmm speech recognition

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dr_wav2mfcc_e_d_a.m
forward_backward_dho_hmm_log_math.m
forward_dho_hmm_log_math.m
fun_main_DHO_HMM_test_using_EM_models.m
fun_main_DHO_HMM_test_using_Viterbi_models.m
fun_viterbi_dho_hmm.m
fwav2mfcc_e_d_a.m
gau_dho_hmm_EM_reestimation.m
gau_dho_hmm_forward_recognition.m
gau_dho_hmm_init_train_uniform_segment.m
gau_dho_hmm_Viterbi_recognition.m
gau_dho_hmm_Viterbi_reestimation.m
gau_hmm_EM_reestimation_for_DHO_HMM.m
gau_hsmm_EM_reestimation.m
gau_hsmm_init_train_uniform_segment.m
gau_hsmm_Viterbi_reestimation.m
generate_all_isolated_digits_ti_testing_list_mat.m
generate_all_isolated_digits_ti_training_list_mat.m
generate_DHO_HMM_structure.m
generate_htk_filelist_txt.m
generate_htk_word_trans_mlf.m
generate_selected_TI_isolated_digits_testing_list_mat.m
generate_selected_TI_isolated_digits_training_list_mat.m
generate_testing_list_mat.m
generate_training_list_mat.m
global_mean_var_for_dho_hmm.m
init_mean_var_dho_hmm_uniform_seg.m
logDiagGaussian.m
logSum.m
main_all.m
main_DHO_HMM_EM_train.m
main_DHO_HMM_EM_train_and_test.m
main_DHO_HMM_test_using_EM_models.m
main_DHO_HMM_test_using_Viterbi_models.m
main_DHO_HMM_Viterbi_train.m
main_DHO_HMM_Viterbi_train_and_test.m
main_dr_wav2mfcc_e_d_a.m
main_HMM_EM_train.m
main_HMM_EM_train_and_test.m
main_HMM_test_using_EM_models.m
main_HSMM_EM_train.m
main_HSMM_EM_train_and_test.m
main_HSMM_test_using_EM_models.m
models
overall_max.m
overall_sum.m
readme.txt
result_statistics_dho_hmm.m
result_statistics_old.m
rsesult_statistics_hsmm.m
slope.m
wav
wav2logpow.m
wav2mfcc.m
wav2mfcc_e_d_a.m

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