文件名称:MixtGaussian

  • 所属分类:
  • matlab例程
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 2.25mb
  • 下载次数:
  • 0次
  • 提 供 者:
  • 姜*
  • 相关连接:
  • 下载说明:
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一个HMM的语音识别的 程序,包括训练识别等一系列子程序,有英文使用介绍-A HMM speech recognition procedures, including training to identify a series of subroutines, for use in English introduction
(系统自动生成,下载前可以参看下载内容)

下载文件列表

MixtGaussian

............\footnode.html

............\images.pl

............\images.aux

............\auto

............\....\MixtGaussian.el

............\img5.gif

............\sumgauss2.fig

............\sumgauss2.eps

............\MixtGaussian.pdf

............\MixtGaussian.css

............\node3.html

............\node2.html

............\img6.gif

............\MixtGaussian.tex~

............\img14.gif

............\img3.gif

............\internals.pl

............\img1.gif

............\images.out

............\tutorial_style.texinc

............\img2.gif

............\contents.gif

............\img4.gif

............\next.gif

............\prev.png

............\img10.gif

............\labels.pl

............\img15.gif

............\prev.gif

............\img12.gif

............\contents.png

............\img8.gif

............\sumgauss1.pdf

............\img13.gif

............\img9.gif

............\sumgauss_1.fig

............\images.tex

............\next.png

............\MixtGaussian.out

............\img16.gif

............\sumgauss1.eps

............\matlab

............\......\Digit_demo.m

............\......\mgaussv.m

............\......\histogram2.m

............\......\digits.mat

............\......\init_mhmm.m

............\......\BackFront.mat

............\......\gausspdf.m

............\......\Ex_BackFront.m

............\......\gloglike.m

............\......\BW_hmm.m

............\......\histo.m

............\......\voicebox

............\......\........\enframe.m

............\......\........\melbankm.m

............\......\........\rdct.m

............\......\........\rfft.m

............\......\........\melcepst.m

............\......\Ex_HmmGM.m

............\......\BNT

............\......\...\sample_mc.m

............\......\...\em_converged.m

............\......\...\learn_mhmm.m

............\......\...\sample_dhmm.m

............\......\...\mk_ghmm_obs_lik.m

............\......\...\sample_discrete.m

............\......\...\dist2.m

............\......\...\mk_stochastic.m

............\......\...\gsamp.m

............\......\...\tiv_path.m

............\......\...\gmminit.m

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

............\......\...\forwards_backwards_mix.m

............\......\...\kmeans.m

............\......\...\log_lik_ghmm.m

............\......\...\consist.m

............\......\...\gmm.m

............\......\...\normalise.m

............\......\...\mk_dhmm_obs_lik.m

............\......\...\log_lik_mhmm.m

............\......\...\forwards.m

............\......\...\gaussian_prob.m

............\......\...\mk_mhmm_obs_lik.m

............\......\...\sample_mhmm.m

............\......\comp_hist_pdf.m

............\......\gausview.m

............\......\train.m

............\......\symbols.mat

............\......\recognize.m

............\......\BW.m

............\......\preproc.m

............\sumgauss2.pdf

............\img11.gif

............\MixtGaussian.tex

............\images.log

............\node1.html

............\MixtGaussian.html

............\index.html

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