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：建立了一个基于HMM 算法的非特定人语音识别系统，阐述了具体实现过程，包括预处理、特征参数的提取及模板的匹配-: The establishment of a non-specific algorithm based on HMM Speech Recognition System, describes a specific implementation process, including preprocessing, feature extraction and template para
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这是一个中文拼音输入法的Java实现，基于HMM模型，无词典，能完成拼音转汉字，和汉字转拼音的任务，并结合Edit Distance使其具有中文输入纠错功能。-This is a Chinese Pinyin input method of the Java implementation of HMM-based model, no dictionary, to complete Pinyin turn Chinese characters, Pinyin and Chinese charact
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HTS语音合成系统的设计和实现，是日本人的博士论文，做hmm based 语音合成。-HTS speech synthesis system design and implementation 。it is a doctoral thesis, about hmm based speech synthesis.
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经典的马尔科夫算法，这个事单序列hmm模型的代码，使用C++实现-Classical Markov algorithm, this thing single sequence hmm model code, the use of C++ implementation
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语音识别HMM算法的C语言实现，里面有详细的注释和说明，阅读起来很容易理清程序流程和思路，函数的功能以及函数怎么调用都说的很清楚。相信对语音识别的DSP编程有很大的帮助。-HMM speech recognition algorithm for C-language implementation, which has detailed notes and instructions, read them very easy to straighten out our thinking proces
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HMM的DSP实现，基于C语言，代码注释详尽，算法思想一目了然，函数接口清晰，函数功能以及函数怎么调用一目了然-HMM-DSP implementation, based on C language, code comment in detail, the algorithm ideas at a glance, the function interface, clarity, function, functions, and how the function is called at a gl
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基于DSP和HMM的语音识别系统设计与实现-And HMM-based speech recognition DSP System Design and Implementation
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整理好的基于HMM语音识别系统（matlab实现）-Tidied HMM-based speech recognition system (matlab implementation)
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HMM model to learn about various algos like vitribri fwd backward etc and their implementation too
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用C++实现HMM 的维特比算法，主要是用于参数B的初值选取以及找到隐藏序列-HMM with a C++ implementation of the Viterbi algorithm, mainly used for selecting the initial value of parameters B and find the hidden sequence
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matlab implementation for forward-backward algorithm for train and test of hidden markov model (HMM).
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隐马尔科夫模型HMM算法java实现
可以直接实现哦-Hidden Markov Model HMM algorithm java implementation can directly realize oh
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HMM识别孤立词的研究与实现,有助于学习语音识别-HMM isolated word recognition and implementation of research, contribute to learning speech recognition
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隐马尔科夫实现代码，包括前进算法，和前进后退算法-Hidden Markov implementation code
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ziphmm. An very brief and fast HMM implementation!
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HMM的C语言实现，图像处理必备的C语言算法-C language implementation of the HMM image processing essential C language algorithm
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功能函数，用于matlab的仿真和实现，可用于语音识别和语音处理-Functions for matlab simulation and implementation, can be used for speech recognition and speech processing
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这个方法之所以如此流行就在于其固有的统计框架：从有限语音训练集数据中训练出模型近似参数的简单易行；模型可根据特殊的词汇、声音等改变认知系统的大小、种类或模型的架构的灵活多变；实现整个认知系统的简单方便。在这篇解释性的文章中，我们将讲解应用在语音识别中的非常重要的统计方法，并讨论一系列尚未解决的原理性的和实际性的问题，因为他们很重要并对不同系统实现的性能有很大影响。-This method is so popular lies in its inherent statistical framewo
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hmm语音识别系统的matlab实现，包括所需函数程序。(Matlab implementation of HMM Speech Recognition)
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Matlab code for the Schmidt HMM-based heart sound segmentation. An example of the implementation of this code can be found in “run_Example_Schmidt_scr ipt.m”.
This code is derived from the paper: S. E. Schmidt et al., "Segmentation of heart s
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