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A novel Fuzzy approach to speech recognition

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5 Author(s)
Halavati, R. ; Comput. Eng. Dept., Sharif Univ. of Technol., Tehran, Iran ; Shouraki, S.B. ; Eshraghi, M. ; Alemzadeh, M.
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This paper presents a novel approach to speech recognition using fuzzy modeling. The task begins with conversion of speech spectrogram into a linguistic description based on arbitrary colors and lengths. While phonemes are also described using these fuzzy measures, and recognition is done by normal fuzzy reasoning, a genetic algorithm optimizes phoneme definitions so that to classify samples into correct phonemes. The method is tested over a standard speech data base and the results are presented.

Published in:

Hybrid Intelligent Systems, 2004. HIS '04. Fourth International Conference on

Date of Conference:

5-8 Dec. 2004