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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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HMM模型的MATLAB实现，HMM模型是语音识别方面一个重要的技术手段-HMM in MATLAB, HMM Speech Recognition is an important area of technical means
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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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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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Speech recognition using H-Speech recognition using HMM
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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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语音识别技术的最终目标是要让计算机能与人自由交谈。目前，连续语音识别技术正趋于成熟，语音识别也延伸出了诸多实用化的研究方向。今后，语音识别的重点将集中在自然话语识别与理解、实时语音识别和语音识别鲁棒性等方面。作为一门交叉学科，语音识别所涉及到的技术有信号处理、模式识别、概率论和信息论、发声机理、听觉机理和人工智能等。-The ultimate goal of speech recognition technology is to make computers and allowing other
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MATLAB编写的语音识别算法，中间有详细的代码注释，便于大家交流-Speech recognition algorithm written in MATLAB, the middle of a detailed code comments, easy to share
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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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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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MATLAB环境下的基于HMM模型的语音识别系统，希望有用- The model speech recognition systembased on HMMThe in MATLAB environment
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隐马尔科夫模型是语音识别中的重要算法思想，这里在matlab下实现了一个原理性的算法-Hidden markov models is an important algorithm in speech recognition, here under the matlab implements a rational algorithm
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鲁棒性好，性能优越，在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统。- Robustness, superior performance, Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system.
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Pisarenko谐波分解算法,在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统。- Pisarenko harmonic decomposition algorithm, Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system.
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在matlab环境中自动识别连通区域的大小,完整的基于HMM的语音识别系统，基于欧几里得距离的聚类分析。- Automatic identification in the matlab environment the size of the connected area, Complete HMM-based speech recognition system, Clustering analysis based on Euclidean distance.
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隐马尔科夫链在语音识别方面的运用，实现matlab的程序编写。(Hidden Markov chain in the field of speech recognition, the realization of MATLAB programming.)
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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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HMM based speech in matlab
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