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Deep Learning Driven Arabic Text to Speech Synthesizer for Visually Challenged People

Mrim M. Alnfiai1,2, Nabil Almalki1,3, Fahd N. Al-Wesabi4,*, Mesfer Alduhayyem5, Anwer Mustafa Hilal6, Manar Ahmed Hamza6

1 King Salman Center for Disability Research, Riyadh, 13369, Saudi Arabia
2 Department of Information Technology, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia
3 Department of Special Education, College of Education, King Saud University, Riyadh, 12372, Saudi Arabia
4 Department of Computer Science, College of Science & Arts at Muhayel, King Khaled University, Abha, 62217, Saudi Arabia
5 Department of Computer Science, College of Sciences and Humanities-Aflaj, Prince Sattam bin Abdulaziz University, Al-Aflaj, 16733, Saudi Arabia
6 Department of Computer and Self Development, Preparatory Year Deanship, Prince Sattam bin Abdulaziz University, AlKharj, 16242, Saudi Arabia

* Corresponding Author: Fahd N. Al-Wesabi. Email: email

TSP_IASC_34069.pdf

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