Title :
A new preprocessor for speech recognition system using blind signal separation
Author :
Shimada, H. ; Shimada, Y. ; Usagawa, T. ; Ebata, M.
Author_Institution :
Dept. of Comput. Sci., Kumamoto Univ., Japan
Abstract :
In previous years, numerous studies to pick up a target signal under a noisy environment are proposed. Especially, a blind signal separation method attracts the interests of many researchers because of its flexibility of system configuration. However, there are several problems to apply actual systems; required computational load and insufficient, stability to convergence. In this paper, a new simple blind signal separation method is proposed for 2-inputs and 2-outputs system. The results of computer simulation show the coherence between original signal and estimated one is more than 0.99 even if the level difference between signal and noise is 40 dB
Keywords :
MIMO systems; noise; numerical stability; speech processing; speech recognition; 2-inputs/2-outputs system; blind signal separation; blind signal separation method; computational load; computer simulation; convergence stability; noisy environment; preprocessor; speech recognition system; system configuration flexibility; Blind source separation; Convergence; Cost function; Crosstalk; Degradation; Equations; Independent component analysis; Noise cancellation; Speech recognition; Transfer functions;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818358
