HiddenMarkovModels
所属分类：matlab编程
开发工具：matlab
文件大小：161KB
下载次数：152
上传日期：2007-05-22 21:53:51
上 传 者：
sover
说明： HMM模型的MATLAB实现，HMM模型是语音识别方面一个重要的技术手段
(HMM in MATLAB, HMM Speech Recognition is an important area of technical means)
文件列表:
Hidden Markov Models_4_1\chmmsim.mat (38712, 2002-08-02)
Hidden Markov Models_4_1\Contents.m (1283, 2002-02-26)
Hidden Markov Models_4_1\DATA_STRUCTURE (3000, 2002-02-26)
Hidden Markov Models_4_1\demdirichlet.mat (6664, 2002-08-02)
Hidden Markov Models_4_1\demdirichlethmm.m (678, 2002-02-26)
Hidden Markov Models_4_1\demgauss.mat (10896, 2002-08-02)
Hidden Markov Models_4_1\demgausshmm.m (1630, 2002-02-26)
Hidden Markov Models_4_1\demgausshmm2.m (1753, 2002-02-26)
Hidden Markov Models_4_1\digamma.m (233, 2002-02-26)
Hidden Markov Models_4_1\digamma.mexglx (347007, 2002-02-26)
Hidden Markov Models_4_1\digamma.mexsol (7272, 2002-02-26)
Hidden Markov Models_4_1\dirichlet_kl.m (1033, 2002-02-26)
Hidden Markov Models_4_1\evalfreeenergy.m (3457, 2002-02-26)
Hidden Markov Models_4_1\gaussmd.m (969, 2002-02-26)
Hidden Markov Models_4_1\gaussrnd.m (850, 2002-02-26)
Hidden Markov Models_4_1\gauss_kl.m (1166, 2002-02-26)
Hidden Markov Models_4_1\hmmdecode.m (2914, 2002-02-26)
Hidden Markov Models_4_1\hmmhsinit.m (1158, 2002-02-26)
Hidden Markov Models_4_1\hmminit.m (914, 2002-02-26)
Hidden Markov Models_4_1\hmmsim.m (2916, 2002-02-26)
Hidden Markov Models_4_1\hmmtrain.m (6648, 2002-02-26)
Hidden Markov Models_4_1\hsinference.m (3234, 2002-02-26)
Hidden Markov Models_4_1\hsupdate.m (961, 2002-02-26)
Hidden Markov Models_4_1\INSTALLATION (95, 2002-02-26)
Hidden Markov Models_4_1\mdist.m (662, 2002-02-26)
Hidden Markov Models_4_1\mdsum.m (570, 2002-02-26)
Hidden Markov Models_4_1\movmed.m (933, 2002-02-26)
Hidden Markov Models_4_1\multinomrnd.m (572, 2002-02-26)
Hidden Markov Models_4_1\obsinit.m (6619, 2002-02-26)
Hidden Markov Models_4_1\obslike.m (2556, 2002-02-26)
Hidden Markov Models_4_1\obsupdate.m (2525, 2002-02-26)
Hidden Markov Models_4_1\rdiv.m (273, 2002-02-26)
Hidden Markov Models_4_1\rsum.m (117, 2002-02-26)
Hidden Markov Models_4_1\sampgauss.m (583, 2002-02-26)
Hidden Markov Models_4_1\VERSION (344, 2002-02-26)
Hidden Markov Models_4_1\wgmmem.m (3379, 2002-02-26)
Hidden Markov Models_4_1\wishart_kl.m (997, 2002-02-26)
Hidden Markov Models_4_1 (0, 2005-04-22)
HMMBOX, version 4.1, Iead Rezek, Oxford University, July 2001
Matlab toolbox for Variational estimation Hidden Markov Models.
(Adapted from Hidden Markov Toolbox Version 3.3 01-Apr-99 and
Coupled Hidden Markov Toolbox Version 1.1 01-Feb-01
Copyright (c) by Iead Rezek, Oxford University)
The software uses some NETLAB routines
(see http://neural-server.aston.ac.uk/netlab/index.html
so you'll need to have NETLAB on your search path
See the file VERSION for what's new in this version.
The observation models has so far been implemented are
Gaussian, Poisson and Dirichlet
DEMONSTRATIONS:
demgausschmm.m uses Gaussian observation model on AR features
To extend the CHMM to different observation models add the required
code into cobsinit, obslike and obsupdate.
ROUTINES:
Read the file Contents.m
DATA:
Read the file DATA-STRUCTURE.
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