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A. EL GHAZI, C. DAOUI, N. IDRISSI, ‘Speech recognition sytem concerning the morrocan dialect’, IJEST Vol. 4 No.03 March 2012.

has been cited by the following article:

Article

Automatic Speech Recognition for Tamazight Enchained Digits

1Laboratory of Modeling and Calculation, Faculty of Sciences and Technics, BeniMellal

2Team of Information Processing and Telecommunication, Faculty of Sciences and Technics, BeniMellal


World Journal Control Science and Engineering. 2014, Vol. 2 No. 1, 1-5
DOI: 10.12691/wjcse-2-1-1
Copyright © 2014 Science and Education Publishing

Cite this paper:
A. EL GHAZI, C. DAOUI, N. IDRISSI. Automatic Speech Recognition for Tamazight Enchained Digits. World Journal Control Science and Engineering. 2014; 2(1):1-5. doi: 10.12691/wjcse-2-1-1.

Correspondence to: A.  EL GHAZI, Laboratory of Modeling and Calculation, Faculty of Sciences and Technics, BeniMellal. Email: hmadgm@yahoo.fr

Abstract

The evolution of humane-machines dialogue involved the apparition of a new security management technique. For this reason, there are a lot of systems that uses voice stamps and signal processing. In this work, we have treated a first stage of a security system that consists on password validation devoted to Tamazight dialect. In this context, an automatic speech recognition system for Tamazight enchained digits is established. We have based on construction rules of these digits to minimize a training database and to avoid the overlap between different numbers to increase a recognition rate.

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