文件名称:Hidden_Markov_model_for_automatic_speech_recogniti

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Hidden_Markov_model_for_automatic_speech_recognition

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.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

Hidden_Markov_model_for_automatic_speech_recognition

....................................................\Debug

....................................................\generate_seq.cc

....................................................\hmm.cc

....................................................\hmm.h

....................................................\Makefile

....................................................\makefile.old

....................................................\random.dsp

....................................................\random.dsw

....................................................\random.h

....................................................\random.ncb

....................................................\random.opt

....................................................\random.plg

....................................................\README.hmm

....................................................\test.hmm

....................................................\test_hmm.cc

....................................................\train_hmm.cc

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