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文件名称:HMMmodel
介绍说明--下载内容来自于网络,使用问题请自行百度
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical descr iption of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical descr iption of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
马尔可夫模型/generate_seq.cc
马尔可夫模型/hmm.cc
马尔可夫模型/hmm.h
马尔可夫模型/Makefile
马尔可夫模型/makefile.old
马尔可夫模型/random.h
马尔可夫模型/README.hmm
马尔可夫模型/test.hmm
马尔可夫模型/test_hmm.cc
马尔可夫模型/train_hmm.cc
马尔可夫模型
www.dssz.com.txt
马尔可夫模型/hmm.cc
马尔可夫模型/hmm.h
马尔可夫模型/Makefile
马尔可夫模型/makefile.old
马尔可夫模型/random.h
马尔可夫模型/README.hmm
马尔可夫模型/test.hmm
马尔可夫模型/test_hmm.cc
马尔可夫模型/train_hmm.cc
马尔可夫模型
www.dssz.com.txt
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