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, Koon-fai
Leung, Frank H. F.
Lam, H. K.
Tam, Peter K. S.
Subjects: 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.
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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1389
ISBN: 0-7803-7810-5
Appears in Collections:EIE Conference Papers & Presentations

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