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2014年8月25日星期一

HMM实现 [<转载>]

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C语言HMM版本。
C++版:
        以上两个是C++版本的,但是实现的是离散型的HMM。
Java版:
        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.
        Jahmm主页:http://code.google.com/p/jahmm/
Python版:
Malab版:
        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).
Common Lisp版:
        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.
Haskell版:
        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。
CDHMM C++版:
        连续HMM的C++实现:http://download.csdn.net/detail/luxiaoxun/4417043
        注:这是网上找的,里面实现有个连续的HMM-GMM的实现,代码写的很好,有些地方需要根据自己的需求改动。

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