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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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隐马尔可夫模型程序代码，很经典的一个算法-Hidden Markov model code, it is a classic algorithm
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基于隐马尔科夫模型的分词标注程序，使用PASCAL语言编写,Hidden Markov Model-based sub-word tagging procedures, using the PASCAL language
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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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基于隐马尔科夫模型的分词，标注，词法分析的资料,Hidden Markov Model-based sub-word tagging information
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mfcc tanı mlama mfcc descr iption mfcc for hidden markov model in speech recognition for everyone that in interested
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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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CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc
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利用隐马尔可夫模型实现词性标注。此为无监督模型。 内含语料库和测试集。方便大家学习。-The use of Hidden Markov Model to achieve part of speech tagging. This is no oversight model. Corpus and the test set contains. To facilitate them to learn.
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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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：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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HTS version 2.1 includes hidden semi-Markov model (HSMM) training/adaptation/synthesis, speech parameter generation algorithm considering global variance (GV), SMAPLR/CSMAPLR adaptation, and other minor new features.
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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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基于隐马尔可夫模型的语音单字识别研究：本文针对线性模型在语音识别中的不足, 进行了隐马尔可夫模型(HMM)在
语音单字识别中的研究,主要对观察输出概率求解、 最佳状态序列寻找、 参数估计和
模型参数的选择进行了探讨.-Based on hidden Markov model speech word recognition: the lack of the linear model in speech recognition, hidden Markov model (HMM) speec
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