Geometry Analysis and Recognition Research of Speech Signal

被引：0
|
作者：
Wan Xianbao [1 ]
Xu Chunyan [1 ]
Chen Yong [1 ]
Pan Xiaoxia [1 ]
Wang Shoujue [1 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Inst Intelligent Informat Syst, Hangzhou 310014, Zhejiang, Peoples R China
来源：
PACIIA: 2008 PACIFIC-ASIA WORKSHOP ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION, VOLS 1-3, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Based on Principal Component Analysis technology, using geometry theory we analyze the distribution relations of single speech sample, samples of same class but of different people, samples of different classes of same people, and continuous speech samples of same people. Propose a covering recognition method of different classes of speech samples by complex geometrical bodies in feature space, and analyze the validity of it. Experiments show the rationality of this method.
引用
收藏
页码：1219 / 1222
页数：4
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