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This class library contains more than 20 classes including feature extraction algorithms (MFCC, LPCC) and modeling techniques (HMM, GMM, DTW, VQ ) for automatic speech recognition and speaker verification
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speech recognition using hidden markov model making it speaker independent
Using Matlab 7.5[2008b]
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hidden markove modeling for text dependent speaker recognition
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hmm语音识别程序，能根据参数，训练模型和计算出模型距离，对于学习和编写有关隐马尔科夫语音识别程序很有帮助-hmm speaker recognition program，use it you can directly write an hmm program easly.
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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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非特定人语音识别的HMM算法实现以及特定人语音识别DTW算法实现-Speaker-HMM speech recognition algorithm and independent speech recognition DTW algorithm
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Speaker recognition using HMM(Hidden Markov Model)
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An integrated study of speaker normalisation and HMM
adaptation for noise robust speaker-independent speech
recognition
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基于HMM或者GMM模型的说话人识别系统的实现及改进-Speaker recognition system based on HMM or GMM model and improvement
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example of speech processing to execute
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