Investigation Arabic Speech Recognition
Using CMU Sphinx System

Hassan Satori1, 2, Hussein Hiyassat3, Mostafa Harti1, 2, and Noureddine Chenfour1, 2
1UFR Informatique et Nouvelles Technologies d'Information, Dhar Mehraz Fès, Morocco
2Département de Mathématiques et Informatique, Faculté des Sciences, Morocco
3Arab Academy for Banking and Financial Sciences, Amman, Jordan

Abstract: In this paper, Arabic was investigated from the speech recognition problem point of view.  We propose a novel approach to build an Arabic automated speech recognition system using Arabic environment. The system, based on the open source CMU Sphinx-4, was trained using Arabic characters.

Keywords: Speech recognition, Arabic language, HMMs, CMUSphinx-4, artificial intelligence.