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HMM模型在语音识别中的应用，相信对HMM模型感兴趣的语音或图像等专业人员应该明白价值。-It is about Hidden Markov Models (HMM) method in Speech Recognition research. those interested in HMM or speech/image processing should know it s value.
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利用hmm的孤立字（词）语音识别系统，经典的算法，没有图形界面，需要的可以完善一下。-use hmm isolated words (words) speech recognition system, the classical algorithm, no graphical interface, need to be perfect in this.
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语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。, In speech recognition classical HMM algorithm, including has
the sequence, the test and the parameter training, compiles by the C
language.
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一种简单有效的基于动态时变语音识别源码
对于大多数研究者来说,寻找能够匹配二重时间序列信号的最佳途径是很重要的,因为它有许多重要的应用需求.DTW是实现这项工作的显著技术,尤其在语音识别技术领域,在这里一个测试信号被按照参照模板拉伸或压缩,
,Searching for the best path that matches two time-series signals is the main task for many researchers, because of its importa
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用Matlab开发的基于HMM的语音识别系统-Developed using Matlab-based HMM speech recognition system
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HMM matlab 源代码，可用于语音识别，是一种经典的算法，有广泛的应用范围。-HMM matlab source code, can be used for speech recognition is a classical algorithm, a wide range of applications.
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最近实现的hmm，很实用的，语音识别有用-Recently achieved hmm, very practical and useful speech recognition
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阴马尔可夫模型的实现，还有一些例子，文件较多，可用与HMM的语音识别-The realization of Markov model overcast, there are some examples, the document more usable and HMM Speech Recognition
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语音识别程序，基于matlab，程序较为简单，实现基本功能-Speech recognition process, based on matlab, a relatively simple procedure to achieve the basic functions of
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本文章描述了隐马尔科夫（HMM）在语音识别中的应用，介绍了评估、解码、训练-This article describes the hidden Markov [HMM] in speech recognition applications, introduce an evaluation, decoding, training
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Speech Recognition system using HMM...includes Viterbi , Forwarding and Backtracking Algorithm
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speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b]
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基于hmm的识别程序
识别数字0-9，识别率全对-speech recognition based on hmm
number 0-9 all right
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基于HMM的孤立词语音识别程序，非常有用。- speech reco
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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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Speech recognition using H-Speech recognition using HMM
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this source code is for Training ,HMM for speech recognition
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基于HMM模型的语音识别系统，在MATLAB中的程序实现-HMM-based speech recognition systems model
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在MATLAB 环境下利用语音工具箱Voice Box 实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统-Using Voice- Box a mandarin speech recognition system is realized based on CDHMM in MATLAB environment.
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基于HMM的语音识别系统毕业设计(用matlab7.1版)(Graduation Design of speech recognition system based on hmm)
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