Title :
Fuzzy speech recognition
Author :
Zhao, Tong ; Woo, Peng-Yung
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.835990