各种实现隐马尔可夫模型(HMM)的平台汇总

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C语言版:

1、 HTK(Hidden Markov Model Toolkit):
HTK是英国剑桥大学开发的一套基于C语言的隐马尔科夫模型工具箱,主要应用于语音识别、语音合成的研究,也被用在其他领域,如字符识别和DNA排序等。HTK是重量级的HMM版本。
HTK主页:http://htk.eng.cam.ac.uk/

2、 GHMM Library:

The General Hidden Markov Model library (GHMM) is a freely available LGPL-ed C library implementing efficient data structures and algorithms for basic and extended HMMs.

GHMM主页:http://www.ghmm.org/

3、 UMDHMM(Hidden Markov Model Toolkit):

Hidden Markov Model (HMM) Software: Implementation of Forward-Backward, Viterbi, and Baum-Welch algorithms.

这款属于轻量级的HMM版本。

UMDHMM主页:http://www.kanungo.com/software/software.html

Java版:

4、 Jahmm Java Library (general-purpose Java library):

Jahmm (pronounced “jam”), is a Java implementation of Hidden Markov Model (HMM) related algorithms. It’s been designed to be easy to use (e.g. simple things are simple to program) and general purpose.

qJahmm主页:http://code.google.com/p/jahmm/

Malab版:

5、 Hidden Markov Model (HMM) Toolbox for Matlab:

This toolbox supports inference and learning for HMMs with discrete outputs (dhmm’s), Gaussian outputs (ghmm’s), or mixtures of Gaussians output (mhmm’s).
Matlab-HMM主页:http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html

Common Lisp版:

6、CL-HMM Library (HMM Library for Common Lisp):
Simple Hidden Markov Model library for ANSI Common Lisp. Main structures and basic algorithms implemented. Performance speed comparable to C code. It’s licensed under LGPL.

CL-HMM主页:http://www.ashrentum.net/jmcejuela/programs/cl-hmm/

Haskell版:

7、The hmm package (A Haskell library for working with Hidden Markov Models):

A simple library for working with Hidden Markov Models. Should be usable even by people who are not familiar with HMMs. Includes implementations of Viterbi’s algorithm and the forward algorithm.

Haskell-HMM主页:http://hackage.haskell.org/cgi-bin/hackage-scripts/package/hmm

注:Haskell是一种纯函数式编程语言,它的命名源自美国数学家Haskell Brooks Curry,他在数学逻辑方面上的工作使得函数式编程语言有了广泛的基础。

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