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A novel fuzzy approach to speech recognition

Halavati, R ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/ICHIS.2004.11
  3. Publisher: 2005
  4. Abstract:
  5. 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. © 2005 IEEE
  6. Keywords:
  7. Computer simulation ; Database systems ; Fuzzy sets ; Genetic algorithms ; Spectrographs ; Phoneme definitions ; Speech spectrogram ; Standard speech data base ; Speech recognition
  8. Source: Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems, Kitakyushu, 5 December 2004 through 8 December 2004 ; 2005 , Pages 340-345 ; 0769522912 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/1410027