DocumentCode :
2437537
Title :
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
Link To Document :
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