DocumentCode
3048959
Title
Minimum Sphere Covering Theory in High Dimension Space and Its Application for Speech Recognition
Author
Lu, Fei ; He, Wenxiu
Author_Institution
Inst. of Intell. Inf. Syst., Zhejiang Univ. of Technol., Hangzhou, China
Volume
2
fYear
2009
fDate
19-21 May 2009
Firstpage
432
Lastpage
435
Abstract
We study covering theory at first and then propose minimum sphere covering (MSC) algorithms in high dimension space. We build an extensible covering neural network by using minimum sphere covering algorithm. At last, we applied this algorithm in speech recognition and better results describe its effectiveness.
Keywords
neural nets; speech recognition; high dimension space; minimum sphere covering algorithms; neural network; speech recognition; Acoustics; Educational institutions; Graphics; Hidden Markov models; Information systems; Intelligent systems; Space technology; Speech enhancement; Speech recognition; Statistical distributions; Covering theory; Minimum Sphere Covering Algorithm; Speech Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.381
Filename
5209393
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