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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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தலைமை எழுத்தாளர்கள்: Abdulhalim, Yasser Hifny, Qurany, Shady, Hamid , Salah, Rashwan, Muhsen, Atiyya, Muhammad, Ahmed Mahmoud, Ahmed Ragheb, Khallaaf, Galaal
வடிவம்: கட்டுரை
மொழி:English
வெளியீடப்பட்டது: 2011
பகுதிகள்:
PJ6701 Modern Arabic dialects
நிகழ்நிலை அணுகல்:http://irep.iium.edu.my/22811/
http://irep.iium.edu.my/22811/2/FullText.pdf
குறியீடுகள்: குறிச்சொல் இணை
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தொகுப்பு: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.

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