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在语音识别的hmm模型中使用matlab对语音信号进行训练的把baum源代码-in Speech Recognition hmm use Matlab model of voice signals training source put BAUM
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matlab实现的基于HMM模型的语音识别系统，很实用！-Matlab achieve the HMM-based speech recognition systems, a very practical!
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MATLAB编写的用于语音识别的程序 主要内容为隐马尔可夫程序-MATLAB prepared for the speech recognition process mainly as Hidden Markov proce
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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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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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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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Demonstration for Digit Recognition (and later speech recognition) using HMM Models
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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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hmm算法实现的语音识别程序压缩包，内涵多个文件。-Speech Recognition
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hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；trai
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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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关于HMM入门、HMM在语音识别中应用的一些经典资料和Matlab实现代码，包含中文资料-Getting Started on the HMM, HMM in speech recognition applications to achieve some of the classic data and Matlab code that contains the Chinese data
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一个HMM的Matlab实现方法，可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved
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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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The speech signal for the particular isolated word can be viewed as the one generated using the sequential generating probabilistic model known as hidden Markov
model (HMM). Consider there are n states in the HMM. The particular isolated
speech sig
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Matlab Based human speech recognition on digits
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基于HMM的语音识别算法和毕设例程，包括数据。(HMM-based speech recognition algorithm and complete routine, including data.)
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