Recognition of speech commands using a modified neural fuzzy network and an improved GA

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

8 Citations (Scopus)

Abstract

This paper presents the recognition of speech commands using a modified neural-fuzzy network. To train the parameters of the network, an improved genetic algorithm is proposed. As an application example, the proposed speech recognition approach is implemented in an Electronic Book experimentally to illustrate the design and its merits.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
Pages190-195
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

Conference

ConferenceThe IEEE International conference on Fuzzy Systems
CountryUnited States
CitySt. Louis, MO
Period25/05/0328/05/03

ASJC Scopus subject areas

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

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