A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition

Speech is a natural, convenient and rapid means of human communication. The abil ity to respond to spoken language is of special importance in computer application wherein the user cannot use his/her limbs in a proper way, and may be useful in office automation systems. It can help in developing...

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Bibliographic Details
Main Author:	Babiker, Elsadig Ahmed Mohamed
Format:	Thesis
Language:	English English
Published:	2002
Subjects:	Neural networks in Application
Online Access:	http://psasir.upm.edu.my/id/eprint/12078/ http://psasir.upm.edu.my/id/eprint/12078/1/FK_2002_44_.pdf

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