Arabtalk, an implementation for Arabic TTS

Abdulhalim, Yasser Hifny and Qurany, Shady and Hamid, Salah and Rashwan, Muhsen and Atiyya, Muhammad and Ahmed Mahmoud, Ahmed Ragheb and Khallaaf, Galaal (2011) Arabtalk, an implementation for Arabic TTS. European Languages Resources Association, 9 (1). pp. 3-10. ISSN 1026-8200

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Abstract

This paper describes the ARABTALK® Text-To-Speech (TTS) synthesis system, developed at RDI , for Arabic language. ARABTALK® is a state-of-the-art corpus based concatenative TTS system. The system employs Artificial Neural Networks (ANN) statistical prosody based models for duration, energy, and global pitch contour prediction. In addition, it has a real time synthesis by selection algorithm to explore large speech corpus. ARABTALK® has a hidden Markov models (HMMs) based procedure to automatically time-align new voices transcriptions to their acoustic phoneme boundaries. In this framework, a mature phonology framework has been developed and many perfect rule based models were utilized in the process of letter to sound conversion. The system is multi-user and safe-threaded enabled for server based applications. This research aims to advance the process of developing high quality Arabic TTS synthesis, which yields natural and human sounding Arabic voices.

Item Type:	Article (Journal)
Additional Information:	6730/22811
Subjects:	P Language and Literature > PJ Semitic > PJ6001 Arabic > PJ6073 Language > PJ6701 Modern Arabic dialects
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Islamic Revealed Knowledge and Human Sciences > Department of Arabic Language and Literature
Depositing User:	Ahmed Ragheb Ahmed
Date Deposited:	02 Aug 2013 15:09
Last Modified:	01 Sep 2020 04:54
URI:	http://irep.iium.edu.my/id/eprint/22811

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