DocumentCode
323839
Title
An off-line working speech recognition system employing a compound neural network and fuzzy logic
Author
Zhou, Liqing
Author_Institution
Dept. of Radio Eng., Beijing Univ. of Posts & Telecommun., China
Volume
2
fYear
1998
fDate
12-15 May 1998
Firstpage
1125
Abstract
This paper introduces an off-line working speech recognition hardware system. A new compound structure of neural networks is proposed and fuzzy logic is adopted to implement the system. So the system is able to perform speaker-independent real speech recognition in actual environments where there are heavier noise
Keywords
backpropagation; digital signal processing chips; fuzzy logic; neural nets; speech recognition; LP-derived cepstrum; TMS320C30 digital signal processor; compound structure; computer-independent hardware system; error backpropagation algorithm; fuzzy logic; hierarchical neural network; neural network training; noise; off-line working speech recognition system; speaker-independent real speech recognition; speech recognition hardware; Fuzzy logic; Neural network hardware; Neural networks; Pattern recognition; Real time systems; Speech processing; Speech recognition; Testing; Vocabulary; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location
Seattle, WA
ISSN
1520-6149
Print_ISBN
0-7803-4428-6
Type
conf
DOI
10.1109/ICASSP.1998.675467
Filename
675467
Link To Document