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An Automatic MBROLA Tool For High Quality Arabic Speech Synthesis

by Abdelkader Chabchoub, Adnan Cherif
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 1
Year of Publication: 2011
Authors: Abdelkader Chabchoub, Adnan Cherif
10.5120/4452-6228

Abdelkader Chabchoub, Adnan Cherif . An Automatic MBROLA Tool For High Quality Arabic Speech Synthesis. International Journal of Computer Applications. 36, 1 ( December 2011), 1-5. DOI=10.5120/4452-6228

@article{ 10.5120/4452-6228,
author = { Abdelkader Chabchoub, Adnan Cherif },
title = { An Automatic MBROLA Tool For High Quality Arabic Speech Synthesis },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 1 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number1/4452-6228/ },
doi = { 10.5120/4452-6228 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:21:58.154815+05:30
%A Abdelkader Chabchoub
%A Adnan Cherif
%T An Automatic MBROLA Tool For High Quality Arabic Speech Synthesis
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 1
%P 1-5
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This work describes the Arabic Text-to-Speech (TTS) synthesis system. This system uses an automatic tool based on Diphone concatenation with MBROLA synthesizer. The quality of a synthesized speech is improved by analyzing the spectrum features of voice source in various F0 ranges and timbres in detail. It generates speech synthesis based on analysis and estimation of formant by classifying the voice source into different types. The developed model enhances the quality of the naturalness, and the intelligibility of speech synthesis in various speaking environment.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Arabic speech synthesis Diphone Spectrum analysis Formant Pitch Timbre MBROLA Inverse filtering

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