DocumentCode :
2987346
Title :
Research on Method of Speech Recognition Basing on MVDR and ICA
Author :
Ma, Zhen ; Cui, Ligong
Author_Institution :
Dept. of Comput. Sci. & Technol., Binzhou Univ., Binzhou, China
fYear :
2009
fDate :
18-20 Jan. 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper discusses modeling method of minimum variance distortionless response (MVDR),which compares with linear predictive method. The result is that minimum variance distortionless response filter can afford better original speech envelop. MVDR parameter picking-up method is combined with independent component analysis, which compares with traditional speech recognition, and data has been analyzed. MVDR parameter picking-up method can improve recognition ratio of speech recognition system, can increase mean recognition time; and speech recognition system with ICA character transformation is more robust.
Keywords :
filtering theory; independent component analysis; speech recognition; ICA character transformation; independent component analysis; mean recognition time; minimum variance distortionless response filter; parameter picking-up method; speech recognition method; Biomedical signal processing; Character recognition; Computer science; Data analysis; Finite impulse response filter; Independent component analysis; Signal processing algorithms; Speech analysis; Speech processing; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Network and Multimedia Technology, 2009. CNMT 2009. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5272-9
Type :
conf
DOI :
10.1109/CNMT.2009.5374588
Filename :
5374588
Link To Document :
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