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建立语音模型－隐马尔可夫模型的实现，是统计模型-model established voice-hidden Markov model to achieve statistical model
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这是隐马尔可夫模型的C语言原代码，用户下载时，注意，这些代码都已经调试通过，您只需再重新编译一次，就可以使用了！-This is the hidden Markov model of the original C language code, download, attention, these codes have been adopted debugging, you only need to re-compile time, can use it!
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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
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The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into sp
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用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.
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这是一个通用的隐马尔科夫模型的C代码库， 非常好用。-This is a generic Hidden Markov Model C code libraries, very handy.
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This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to learn a model under maximum likelihood criterion.,This is a hidden Markov model (HMM) modeling program. Forward-backward algorithm is implemented to le
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非常有用，功能强大的基于隐马尔科夫模型的语音识别工具箱，可在此基础上进行再开发，对于从事语音信号处理的工作人员有很好的参考价值。-Very useful and powerful hidden Markov model based speech recognition toolkit, can be re-developed on this basis, in the speech signal processing for the staff have a good reference val
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隐马尔可夫模型演示程序，完整C++源代码。-Hidden Markov Model Demonstration Program, complete C++ Source code.
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Source codes used in Hidden Markov Model (HMM)
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隐马尔可夫模型的HMM的源代码，很经典，分享一下-Hidden Markov Model HMM source code, it is a classic share
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该程序用隐马尔科夫模型算法来对语音信号进行识别-The program used hidden Markov model algorithm to the identification of the voice signal
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：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技
术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率
在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
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speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b]
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simple hidden markov model
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本文详细噪声补偿的隐马尔可夫模型，并指出了它在信号处理中的应用，对未来提出了展望。-In this paper, the noise compensation for hidden Markov model, and pointed out that its signal processing applications, the outlook for the future.
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：为了使应力变异在顽健语音识别系统中能够达到较好的识别效果，研究了基于隐马
尔可夫模型(HMM)的自适应技术，提出了将最大后验概率(MAP)和最大似然回归方法(MLLR)用
于应力变异语音的自适应中。实验结果表明，与基本系统相比，两种方法均有效地提高系统识别
率。以SD为初始模型的最大后验概率方法在150个训练样本时识别效果最好，可以达到90．4％ 。-: In order to stress variation in the robustness of speech recogni
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基于语音信号工具箱的隐马尔科夫HMM模型的说话人识别，请联系lishicheng64@126.com-Speech signal based on HMM toolbox Hidden Markov Model speaker recognition, please contact lishicheng64@126.com
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隐马尔可夫模型源代码，实现了最基本的三个算法-Hidden Markov model source code, to achieve the most basic of the three algorithms
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隐马尔可夫模型，适用于DTW定点算法寻址。有很强的功能性-Hidden Markov model for fixed-point algorithm for addressing DTW. Has a strong functional ~ ~
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