Speech Recognition of Moroccan Dialect Using Hidden Markov Models

Author:

Mouaz Bezoui,Abderrahim Beni Hssane,Abdelmajid Elmoutaouakkil

Publisher

Elsevier BV

Subject

General Engineering

Reference16 articles.

1. Mohamed Amine Menacer, Odile Mella, Dominique Fohr, Denis Jouvet, David Langlois, Kamel Smaili Development of the Arabic Loria Automatic Speech Recognition system (ALASR) and its evaluation for Algerian dialect, 3rd International Conference on Arabic Computational Linguistics, ACLing 2017, 5–6 November 2017, Dubai, United Arab Emirates.

2. S. Connel, A Comparison of Hidden Markov Model Features for the Recognition of Cursive Handwriting, Computer Science Department, Michigan State University, MS Thesis (1996).

3. Fundamentals of Speech Recognition;Rabiner,1993

4. Thorpe and Shelton 1993; Srinivasan et al. 2004; Lungyun et al. 2006; Chiyi and Kubichek 1996; Lam et al. 1996.

5. Afify, M., Sarikaya, R., kwang Jeff Kuo, H., Besacier, L., Gao, Y., 2006. On the use of morphological analysis for dialectal arabic speech recognition, In: Proceedings of ICSLP06, pp. 277–280.

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