Automatic Speech Recognition for Tamazight Enchained Digits

A. EL GHAZI^1, , C. DAOUI¹ and N. IDRISSI²

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

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

Cite this paper:
A. EL GHAZI, C. DAOUI and 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

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.

Keywords:
HMM (Hidden Markov Model) ASRS (Automatic Speech Recognition System) Tamazight security systems

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