Open Access

ARTICLE

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

Mrim M. Alnfiai^1,2, Nabil Almalki^1,3, Fahd N. Al-Wesabi^4,*, 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: