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多类支持向量机在语音识别中的应用
引用本文:刘潇营,郑郁正,李国良.多类支持向量机在语音识别中的应用[J].成都信息工程学院学报,2010,25(1):13-17.
作者姓名:刘潇营  郑郁正  李国良
作者单位:成都信息工程学院,四川,成都,610225
基金项目:四川省教育厅科研基金资助项目(07ZA011)
摘    要:针对语音模式识别,引入多类(M-ary)支持向量机来进行分类。并详细的介绍了M-ary支持向量机的概念以及语音识别系统中的实现方式。通过仿真实验,与BP神经网络、SVM进行比较,验证了M-ary支持向量机具有识别率高,抗噪能力强等优越性。

关 键 词:人工智能  语音识别  M-ary支持向量机  多类分类  特征提取  小波包分解

Application of M-ary Support Vector Machine in Speech Recognition
LIU Xiao-ying,ZHENG Yu-zheng,LI Guo-Liang.Application of M-ary Support Vector Machine in Speech Recognition[J].Journal of Chengdu University of Information Technology,2010,25(1):13-17.
Authors:LIU Xiao-ying  ZHENG Yu-zheng  LI Guo-Liang
Institution:Chengdu University of Information Technology;Chengdu 610225;China
Abstract:This article introduces M-ary support vector machine for speech recognition.And the concept and the implementation in speech recognition system of Mary support vector machine are particularly introduced.By simulation experiment,M-ary support vector machine,compared with the BP neural network and standards SVM,M-ary support vector machine is superior in speech recognition and anti-noise ability.
Keywords:M-ary support vector machine  multicategory classification  feature extraction  wavelet-packet decomposition  artificial intelligence  speech recognition  
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