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 (ASR). This system is based on the open source CMU Sphinx-4, from the Carnegie Mellon University. CMU Sphinx is a large-vocabulary; speaker-independent, continuous speech recognition system based on discrete Hidden Markov Models (HMMs). We build a model using utilities from the OpenSource CMU Sphinx. We will demonstrate the possible adaptability of this system to Arabic voice recognition.
@article{arxiv.0704.2083,
title = {Introduction to Arabic Speech Recognition Using CMUSphinx System},
author = {H. Satori and M. Harti and N. Chenfour},
journal= {arXiv preprint arXiv:0704.2083},
year = {2007}
}