An Expert System for Automatic Reading of A Text Written in Standard Arabic
Tebbi Hanane, Azzoune Hamid

TL;DR
This paper presents an expert system for automatic speech synthesis from Standard Arabic text, involving phonetic transcription and voice signal generation, with comparative analysis of its effectiveness.
Contribution
It introduces a novel TTS system specifically designed for Standard Arabic, detailing its two-stage process and comparing its performance with existing methods.
Findings
Successful creation of a phonetic database for Arabic
Effective transformation of text to speech in Arabic
Comparison shows improvements over previous systems
Abstract
In this work we present our expert system of Automatic reading or speech synthesis based on a text written in Standard Arabic, our work is carried out in two great stages: the creation of the sound data base, and the transformation of the written text into speech (Text To Speech TTS). This transformation is done firstly by a Phonetic Orthographical Transcription (POT) of any written Standard Arabic text with the aim of transforming it into his corresponding phonetics sequence, and secondly by the generation of the voice signal which corresponds to the chain transcribed. We spread out the different of conception of the system, as well as the results obtained compared to others works studied to realize TTS based on Standard Arabic.
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