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