DocumentCode :
1909275
Title :
Speech recognition using fuzzy logic
Author :
Ying, Yong-Qian ; Woo, Peng-Yung
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2962
Abstract :
Speech recognition is one of the important areas in digital speech processing. The study of speech recognition is a part of a quest for artificially intelligent machines that can hear and understand spoken information. The conventional methods for speech recognition are very complicated and time consuming. To apply fuzzy logic to speech recognition is a new attempt in digital speech processing. The approach proposed in the paper simplifies the algorithm in speech recognition and makes the real-time processing time shorter. The situation considered in this paper is the simplest, i.e., the situation of speaker dependence, small vocabulary and isolated words
Keywords :
fuzzy logic; speech recognition; artificially intelligent machines; digital speech processing; isolated words; real-time processing time; speaker dependence; Artificial intelligence; Autocorrelation; Fuzzy logic; Hidden Markov models; Linear predictive coding; Machine intelligence; Speech processing; Speech recognition; Testing; Vocabulary;
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.1999.835991
Filename :
835991
Link To Document :
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