Revue de l'Information Scientifique et Technique
Volume 18, Numéro 1, Pages 223-234
2010-07-10
Authors : Maouche Fadila . Benmohamed Mohamed .
In this article, we suggest a system for automatic recognition of isolated Arabic words, it is a multi-speaker system, even independent of speaker and robustin a noisy environment, it uses a genetic algorithm for recognition, and the Mel frequency cepstral coefficients (MFCC) to modelise the speech signal, it was implemented with the matlab7 platform language. A new mutation method (injection mutation) is proposed and used in the genetic algorithm. To evaluate the performance of the system, we have made an oral corpus that represents the most Arabic language characteristics, it could be used by other researchers to test and validate their systems working on Arabic language.
Automatic speech recognition, genetic algorithm, Arabic language, Melfrequency cepstral coefficients (MFCC), language corpora_
Mohammed Dib
.
pages 63-85.
Laskri Mohamed Tayeb
.
pages 21-26.
Cheikhrouhou Hajer
.
Bouattour Mohamed
.
pages 28-55.
Kherroub Khoudir
.
Hong Shu
.
pages 54-64.