Neural fuzzy network and genetic algorithm approach for cantonese speech command recognition

K. F. Leung, Hung Fat Frank Leung, H. K. Lam, P. K S Tam

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)


This paper presents the recognition of Cantonese speech commands using a proposed neural fuzzy network with rule switches. By introducing a switch to each rule, the optimal number of rules can be learned. An improved genetic algorithm (GA) is proposed to train the parameters of the membership functions and the optimal rule set for the proposed neural fuzzy network. An application example of Cantonese command recognition in electronic books will be given to illustrate the merits of the proposed approach.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Number of pages6
Publication statusPublished - 11 Jul 2003
EventThe IEEE International conference on Fuzzy Systems - St. Louis, MO, United States
Duration: 25 May 200328 May 2003


ConferenceThe IEEE International conference on Fuzzy Systems
Country/TerritoryUnited States
CitySt. Louis, MO

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality
  • Chemical Health and Safety

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