Arabtalk, an implementation for Arabic TTS
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 glob...
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iium-228112013-08-02T07:09:32Z http://irep.iium.edu.my/22811/ Arabtalk, an implementation for Arabic TTS Abdulhalim, Yasser Hifny Qurany, Shady Hamid , Salah Rashwan, Muhsen Atiyya, Muhammad Ahmed Mahmoud, Ahmed Ragheb Khallaaf, Galaal PJ6701 Modern Arabic dialects 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. 2011-12-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/22811/2/FullText.pdf 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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International Islamic University Malaysia |
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language |
English |
topic |
PJ6701 Modern Arabic dialects |
spellingShingle |
PJ6701 Modern Arabic dialects Abdulhalim, Yasser Hifny Qurany, Shady Hamid , Salah Rashwan, Muhsen Atiyya, Muhammad Ahmed Mahmoud, Ahmed Ragheb Khallaaf, Galaal Arabtalk, an implementation for Arabic TTS |
description |
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. |
format |
Article |
author |
Abdulhalim, Yasser Hifny Qurany, Shady Hamid , Salah Rashwan, Muhsen Atiyya, Muhammad Ahmed Mahmoud, Ahmed Ragheb Khallaaf, Galaal |
author_facet |
Abdulhalim, Yasser Hifny Qurany, Shady Hamid , Salah Rashwan, Muhsen Atiyya, Muhammad Ahmed Mahmoud, Ahmed Ragheb Khallaaf, Galaal |
author_sort |
Abdulhalim, Yasser Hifny |
title |
Arabtalk, an implementation for Arabic TTS |
title_short |
Arabtalk, an implementation for Arabic TTS |
title_full |
Arabtalk, an implementation for Arabic TTS |
title_fullStr |
Arabtalk, an implementation for Arabic TTS |
title_full_unstemmed |
Arabtalk, an implementation for Arabic TTS |
title_sort |
arabtalk, an implementation for arabic tts |
publishDate |
2011 |
url |
http://irep.iium.edu.my/22811/ http://irep.iium.edu.my/22811/2/FullText.pdf |
first_indexed |
2023-09-18T20:34:40Z |
last_indexed |
2023-09-18T20:34:40Z |
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1777408965376737280 |