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Title: Modern standard Arabic text to dialectal speech
Authors: Bacha, Clara Al
Advisors: Mokbel, Chafic 
Keywords: Text to speech, diacritization, machine translation, Modern Standard Arabic, Lebanese dialect
Subjects: Arabic language--Dialects
Arabic language--Dialects--Lebanon
Arabic language--Dialects--Lebanon--Texts
Text-to-speech software
Dissertations, Academic
University of Balamand--Dissertations
Issue Date: 2022
Artificial intelligence is all about imitating human behavior and logic. And perhaps speech is what represents the most natural human-like aspect to be integrated in machines. For this purpose, in my thesis, I dive deeper into dialect studies and develop a new Lebanese Arabic text-to-speech (TTS) system. The developed system consists mainly of two parts: diacritizing the input sentence and synthesizing the latter to a Lebanese speech using Tacotron, a TTS system. To satisfy this goal, two online datasets were collected and used in this project, one for diacritization and the other for the TTS. Since studies on dialects are rare, many issues and challenges were faced while developing the system especially while dealing with the datasets. Every part of the system was developed independently, and consequently, a model was generated for each one of the parts and later evaluated and improved as much as possible. Finally, the models were combined in order to obtain the desired final output. The obtained results were satisfactory given the fact that the datasets were limited in size and coverage.
Includes bibliographical references (p. 40-42)
Rights: This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder
Ezproxy URL: Link to full text
Type: Thesis
Appears in Collections:UOB Theses and Projects

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