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Article:Design and Development of a Prosody Generator for Arabic TTS Systems

by Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 1
Year of Publication: 2010
Authors: Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze

Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze . Article:Design and Development of a Prosody Generator for Arabic TTS Systems. International Journal of Computer Applications. 12, 1 ( December 2010), 24-31. DOI=10.5120/1641-2206

@article{ 10.5120/1641-2206,
author = { Zied Mnasri, Fatouma Boukadida, Noureddine Ellouze },
title = { Article:Design and Development of a Prosody Generator for Arabic TTS Systems },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 1 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 24-31 },
numpages = {9},
url = { },
doi = { 10.5120/1641-2206 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:00:34.530439+05:30
%A Zied Mnasri
%A Fatouma Boukadida
%A Noureddine Ellouze
%T Article:Design and Development of a Prosody Generator for Arabic TTS Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 1
%P 24-31
%D 2010
%I Foundation of Computer Science (FCS), NY, USA

Prosody modeling has become the backbone of TTS synthesis systems. Amongst all the prosodic modeling approaches, phonetic methods aiming to predict duration and F0 contour are being very praised, thanks to the development of regression tools, such as neural networks (NN). Besides, parametric representations like Fujisaki model for F0 contour generation help to reduce the problem into the approximation of parameters only. But, prior to the prediction process, text analysis should be carried out first, to select and encode the necessary input features. In our purpose to promote Arabic TTS synthesis, an Integrated Model of Arabic Prosody for Speech Synthesis (IMAPSS) tool has been designed to integrate our developed models for text analysis, NN-based phonemic duration prediction and Fujisaki-inspired F0 contour. Hence, the yielding parameters provide a command file to be read by speech synthesis systems, like MBROLA.

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Index Terms

Computer Science
Information Sciences


Arabic TTS prosodic parameters text analysis phonemic duration F0 contour neural networks Fujisaki model