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
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.381
