Evolutionist approach and MFCC modeling for Arabic : automatic recognition
Joint Authors
Bin Muhammad, Muhammad
Fadilah, Maouche
Source
Issue
Vol. 18, Issue 1 (31 Dec. 2010), pp.92-102, 11 p.
Publisher
Research Centre for Scientific and Technical Information
Publication Date
2010-12-31
Country of Publication
Algeria
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
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 robust in 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.
American Psychological Association (APA)
Fadilah, Maouche& Bin Muhammad, Muhammad. 2010. Evolutionist approach and MFCC modeling for Arabic : automatic recognition. RIST،Vol. 18, no. 1, pp.92-102.
https://search.emarefa.net/detail/BIM-269916
Modern Language Association (MLA)
Fadilah, Maouche& Bin Muhammad, Muhammad. Evolutionist approach and MFCC modeling for Arabic : automatic recognition. RIST Vol. 18, no. 1 (2010), pp.92-102.
https://search.emarefa.net/detail/BIM-269916
American Medical Association (AMA)
Fadilah, Maouche& Bin Muhammad, Muhammad. Evolutionist approach and MFCC modeling for Arabic : automatic recognition. RIST. 2010. Vol. 18, no. 1, pp.92-102.
https://search.emarefa.net/detail/BIM-269916
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 101-102
Record ID
BIM-269916