Geometry Analysis and Recognition Research of Speech Signal

Author

Xianbao, Wang ; Chunyan, Xu ; Yong, Chen ; Xiaoxia, Pan ; Shoujue, Wang

Author_Institution

Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou

Volume

2

fYear

2008

fDate

19-20 Dec. 2008

Firstpage

250

Lastpage

253

Abstract

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.

Keywords

geometry; principal component analysis; speech recognition; statistical distributions; feature space; geometry analysis; principal component analysis; speech sample; speech signal recognition; statistical distribution; Computational geometry; Humans; Information analysis; Information geometry; Principal component analysis; Signal analysis; Space technology; Speech analysis; Speech recognition; Vocabulary; Geometry Analysis; Principal Component Analysis; Speech Recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3490-9

Type

conf

DOI

10.1109/PACIIA.2008.59

Filename

4756774