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基于模式识别的语音分类方法
引用本文:朱琦,酆广增,肖海勇.基于模式识别的语音分类方法[J].南京邮电大学学报(自然科学版),2000,20(4):29-33.
作者姓名:朱琦  酆广增  肖海勇
作者单位:南京邮电学院,通信工程系,江苏,南京,210003
摘    要:对语音的浊/清分类方法进行了讨论,并着重研究了基于多个特征参数、应用模式识别理论的语音分类系统.实验表明,采用Fisher分类器实现的语音分类方法,对训练内语音分类准确率可达98.6%,而训练外语音分类准确率也可达96.7%.

关 键 词:语音数据处理  模式识别  分类方法
文章编号:1000-1972(2000)04-0029-05
修稿时间:1999年9月2日

A Pattern Recognition Decision Method for the Voiced/Unvoiced Classification of Speech
ZHU Qi,FENG Guang-zeng,XIAO Hai-yong.A Pattern Recognition Decision Method for the Voiced/Unvoiced Classification of Speech[J].Journal of Nanjing University of Posts and Telecommunications,2000,20(4):29-33.
Authors:ZHU Qi  FENG Guang-zeng  XIAO Hai-yong
Abstract:Some methods for the classification of voiced/unvoiced speech are explored in this paper,and the focus is on the decision-making process,which can be viewed as a pattern recognition problem.Experiments demonstrate that the classifier based on the Fisher rule can achieve 98.6 percent classification accuracy on speaker dependent tests,and 96.7 percent accuracy on speaker independent tests.
Keywords:Speech data processing  Pattern recognition  Classification syste
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