Statistical Approach for Spontaneous Arabic Speech Understanding Based on Stochastic Speech Recognition Module

This work is part of a big research project named "Oreillodule" aimed to develop tools for automatic speech recognition, translation, and synthesis for Arabic language. In this paper, our attention has mainly been focused on an attempt to present the semantic analyzer developed for the automatic comprehension of the standard spontaneous Arabic speech. We present a model of Arabic speech understanding system. In this model, both speech recognition module and semantic decoding module are based on statistical approach. In this work, we present and evaluate speech recognition module but we just explain the principle of Arabic speech understanding module.