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7c2f6c56ed6d

于 2011-08-04 发布 文件大小:799KB
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代码说明：

  一个HMM的Matlab实现方法，可实现孤立词语音识别(Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved)

文件列表：

HMMall
......\HMM
......\...\#fwdback.m#,6896,2006-02-17
......\...\#mhmm_em.m#,5589,2006-02-16
......\...\#README.txt#,550,2005-06-08
......\...\dhmm_em.m,4081,2005-06-08
......\...\dhmm_em_demo.m,687,2003-05-04
......\...\dhmm_em_online.m,2376,2003-05-04
......\...\dhmm_em_online_demo.m,2249,2003-05-04
......\...\dhmm_logprob.m,640,2003-05-04
......\...\dhmm_logprob_brute_force.m,552,2002-05-29
......\...\dhmm_logprob_path.m,448,2002-05-29
......\...\dhmm_sample.m,408,2004-05-31
......\...\dhmm_sample_endstate.m,622,2003-05-04
......\...\fixed_lag_smoother.m,2096,2003-01-22
......\...\fixed_lag_smoother_demo.m,987,2005-06-08
......\...\fwdback.m,6896,2006-02-17
......\...\fwdback.m~,6518,2006-02-16
......\...\fwdback_xi.m,6642,2005-12-08
......\...\fwdprop_backsample.m,1899,2006-02-23
......\...\fwdprop_backsample.m~,1898,2006-02-22
......\...\gausshmm_train_observed.m,1561,2004-02-12
......\...\herbert.txt~,10449,2005-05-12
......\...\mc_sample.m,442,2004-05-24
......\...\mc_sample_endstate.m,711,2003-01-22
......\...\mdp_sample.m,490,2002-05-29
......\...\mhmmParzen_train_observed.m,1203,2004-02-13
......\...\mhmm_em.m,5610,2006-02-16
......\...\mhmm_em.m~,5562,2004-02-07
......\...\mhmm_em_demo.m,1013,2003-05-13
......\...\mhmm_logprob.m,960,2003-05-04
......\...\mhmm_sample.m,1071,2004-05-25
......\...\mk_leftright_transmat.m,248,2002-05-29
......\...\mk_rightleft_transmat.m,249,2002-11-22
......\...\pomdp_sample.m,612,2003-05-04
......\...\publishHMM.m,32,2006-07-10
......\...\README.txt,550,2005-06-08
......\...\README.txt~,817,2004-06-07
......\...\testHMM.m,138,2005-06-08
......\...\transmat_train_observed.m,1245,2004-08-29
......\...\viterbi_path.m,1541,2004-10-22
......\KPMstats
......\........\#histCmpChi2.m#,267,2005-05-03
......\........\beta_sample.m,1955,2005-04-25
......\........\chisquared_histo.m,199,2005-04-25
......\........\chisquared_prob.m,1326,2005-04-25
......\........\chisquared_readme.txt,1389,2005-04-25
......\........\chisquared_table.m,2127,2005-04-25
......\........\clg_Mstep.m,5884,2005-04-25
......\........\clg_Mstep_simple.m,1463,2005-04-25
......\........\clg_prob.m,421,2005-04-25
......\........\condGaussToJoint.m,646,2005-04-25
......\........\condgaussTrainObserved.m,908,2005-04-25
......\........\condgauss_sample.m,351,2005-04-25
......\........\cond_indep_fisher_z.m,3789,2005-04-25
......\........\convertBinaryLabels.m,101,2005-04-25
......\........\cwr_demo.m,3513,2005-04-25
......\........\cwr_em.m,4912,2005-04-25
......\........\cwr_predict.m,1677,2005-04-25
......\........\cwr_prob.m,1011,2005-04-25
......\........\cwr_readme.txt,534,2005-04-25
......\........\cwr_test.m,2436,2005-04-25
......\........\dirichletpdf.m,1049,2005-05-22
......\........\dirichletrnd.m,1049,2005-05-22
......\........\dirichlet_sample.m,582,2005-04-25
......\........\distchck.m,3836,2005-04-25
......\........\eigdec.m,1535,2005-04-25
......\........\est_transmat.m,535,2005-04-25
......\........\fit_paritioned_model_testfn.m,103,2005-04-25
......\........\fit_partitioned_model.m,2290,2005-04-25
......\........\gamma_sample.m,3144,2005-04-25
......\........\gaussian_prob.m,848,2005-04-25
......\........\gaussian_sample.m,659,2005-04-25
......\........\histCmpChi2.m,394,2005-05-03
......\........\histCmpChi2.m~,353,2005-05-03
......\........\KLgauss.m,342,2005-04-25
......\........\linear_regression.m,2038,2005-04-25
......\........\logist2.m,3050,2005-04-25
......\........\logist2Apply.m,365,2005-04-25
......\........\logist2ApplyRegularized.m,91,2005-04-25
......\........\logist2Fit.m,593,2005-04-25
......\........\logist2FitRegularized.m,411,2005-04-25
......\........\logistK.m,7540,2005-04-25
......\........\logistK_eval.m,2372,2005-04-25
......\........\marginalize_gaussian.m,293,2005-04-25
......\........\matrix_normal_pdf.m,346,2005-04-25
......\........\matrix_T_pdf.m,430,2005-04-25
......\........\mc_stat_distrib.m,790,2005-04-25
......\........\mixgauss_classifier_apply.m,534,2005-04-25
......\........\mixgauss_classifier_train.m,1377,2005-04-25
......\........\mixgauss_em.m,2252,2005-04-25
......\........\mixgauss_init.m,1357,2005-04-25
......\........\mixgauss_Mstep.m,3283,2005-04-25
......\........\mixgauss_prob.m,4102,2005-04-25
......\........\mixgauss_prob_test.m,2320,2005-04-25
......\........\mixgauss_sample.m,734,2005-04-25
......\........\mkPolyFvec.m,576,2005-04-25
......\........\mk_unit_norm.m,280,2005-04-25
......\........\multinomial_prob.m,567,2005-04-25
......\........\multinomial_sample.m,577,2005-04-25

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  • yuyin
    语音信号的时域、频域分析,包括短时能量分析、短时平均过零率、自相关函数、短时平均幅度差函数等。(Time-domain speech signal, frequency domain analysis, including short-term energy analysis, the average short-term zero-crossing rate, autocorrelation function, such as short-time average magnitude difference function.)
    2013-12-31 18:51:58下载
    积分：1
  • Fast ICA
    fastICA用于盲源分离，文件中有三个语音文件进行混合后再分离。(FastICA is used for blind source separation, in which three voice files are mixed and then separated.)
    2020-06-30 11:20:02下载
    积分：1
  • Td-psolaPitchDuration
    使用TD-PSOLA（td-psola、psola）算法，做了一个语音合成，实现语音声调的变调，时长的变化等功能。参考praat源码，提取出其合成方法，效果不错。需要提供pitchtier、durationtier、pointprocess等准换信息文本（可由praat产生）供readfile函数读入(Use TD-PSOLA (TD-PSOLA, PSOLA algorithm, made a speech synthesis, speech tone tone sandhi, long-term changes in the function. Reference Praat source code, extract its synthetic method, the effect of the same.)
    2021-03-13 14:59:24下载
    积分：1
  • chapter3_4
    计算语音的短时平均能量。可以作为清音和浊音的特征参数，可以作为有声无声的依据(Calculate the short-term average energy of speech. It can be used as a characteristic parameter of voiceless and unvoiced sounds, and as a basis for sound and silence.)
    2019-04-25 18:36:40下载
    积分：1
  • 49759
    验证码小识别源码程序，结合易语言位图支持库，调用易语言模块实现验证码识别。(Little recognition source code program , combined with easy language bitmap support library , call easy language module verification code recognition .)
    2015-03-23 19:50:31下载
    积分：1
  • dtw_revised
    利用DTW模版匹配算法实现0~9十个数字的识别。(use DTW template matching algorithm 0-9 10-digit identification.)
    2007-06-11 16:51:28下载
    积分：1
  • 20080426
    信息融合方面得例题，对已知要求的目标，利用动态矩阵控制（DMC）使其达到期望值。所有程序均已通过调试。希望对大家有所帮助(Example of information integration have on the known requirements of the target, the use of Dynamic Matrix Control (DMC) to reach the expectations. All have been through the debugging process. I hope all of you to help)
    2008-04-26 13:07:28下载
    积分：1
  • Speech-enhancement
    语音增强的MATLAB代码 基于谱减法的语音增强系统(Speech enhancement of MATLAB code)
    2020-10-20 11:57:24下载
    积分：1
  • pcm
    对语音信号进行脉冲编码调制，采用A律13折线(Voice signal pulse coding modulation, using A Law 13 polyline)
    2016-12-23 15:50:48下载
    积分：1
  • PESQ
    PESQ-主观语音质量评估。 ITU-T P.862建议书提供的客观MOS值评价方法。PESQ可以广泛的用于现场和模拟网络中端到端测量。背景(环境)噪声和噪声处理,可以通过用PESQ比较干净的、未处理的信号和编码的、经噪声干扰失真的信号评估得到。(PESQ- subjective speech quality assessment. ITU-T P.862 recommendations for objective MOS value uation method book provides. PESQ can be widely used in the field and in the end measurement analog networks. Background (ambient) noise and noise processing, you can use PESQ relatively clean, unprocessed signal uation and signal encoded by the noise distortion obtained.)
    2016-05-21 13:48:58下载
    积分：1
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