Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1389
Title: Neural fuzzy network and genetic algorithm approach for Cantonese speech command recognition
Authors: Leung, KF
Leung, FHF 
Lam, HK
Tam, PKS
Keywords: Genetic algorithms
Mathematical models
Neural networks
Speech recognition
Issue Date: 2003
Publisher: IEEE
Source: FUZZ-IEEE 2003 : proceedings of the 12th IEEE International Conference on Fuzzy Systems : Sunday 25 May-Wednesday 28 May, 2003, St. Louis, Missouri, USA, p. 208-213 How to cite?
Abstract: 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.
URI: http://hdl.handle.net/10397/1389
ISBN: 0-7803-7810-5
Rights: © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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