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Natural language understanding through fuzzy logic inference and its application to speech recognition

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4 Author(s)
Jiping Sun ; Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada ; Karray, F. ; Basir, O. ; Kamel, M.

We report on a fuzzy logic-based language understanding system applied to speech recognition. This system acquires conceptual knowledge from corpus data and organizes such knowledge into fuzzy logic inference rules. The system parses speech recognition results into conceptual structures in a robust manner, and thus is able to tolerate noise caused by speech recognition errors. We discuss the fuzzy inference rule learning method and explain its organization. Experimental results that demonstrate the ability of the system to deal with complex speech input instances are reported

Published in:

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on  (Volume:2 )

Date of Conference:

2002

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