DocumentCode
1909241
Title
Fuzzy speech recognition
Author
Zhao, Tong ; Woo, Peng-Yung
Author_Institution
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Volume
5
fYear
1999
fDate
1999
Firstpage
2959
Abstract
Speech recognition is a major topic in speech signal processing. Many algorithms based on results of speech analysis, among which dynamic time warping) and hidden Markov models are the most important, have been advanced. However, these algorithms generally turn out to be too complicated to be implemented in real time systems. The proposed algorithm in this paper, which uses a fuzzy logic recognition approach based on the power distribution pattern of a segment of a speech, allows the implementation of real-time speech recognition
Keywords
fuzzy logic; fuzzy set theory; speech recognition; fuzzy logic recognition; fuzzy speech recognition; power distribution pattern; real-time speech recognition; speech signal processing; Frequency; Fuzzy logic; Hidden Markov models; Pattern matching; Real time systems; Signal processing algorithms; Speech analysis; Speech processing; Speech recognition; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location
Washington, DC
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.835990
Filename
835990
Link To Document