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