Deep Learning Driven Arabic Text to Speech Synthesizer for Visually Challenged People-Reference-Cited by-同舟云学术

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

Published:2023 Issue:3 Volume:36 Page:2639-2652
ISSN:1079-8587
Container-title:Intelligent Automation & Soft Computing
language:en
Short-container-title:

Author:

M. Alnfiai Mrim,Almalki Nabil,N. Al-Wesabi Fahd,Alduhayyem Mesfer,Mustafa Hilal Anwer,Ahmed Hamza Manar

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

https://www.techscience.com/iasc/v36n3/51901/pdf

Reference21 articles.

1. The ratification and implementation of the Marrakesh Treaty for visually impaired persons in the Arab Gulf States;Olwan;The Journal of World Intellectual Property,2017

2. Analysis of different braille devices for implementing a cost-effective and portable braille system for the visually impaired people;Sarkar;International Journal of Computer Applications,2012

3. Intelligent eye: A mobile application for assisting blind people;Awad,2018

4. A hybrid intelligent approach for content authentication and tampering detection of Arabic text transmitted via internet;Al-Wesabi;Computers, Materials & Continua,2021

5. An automatic arabic sign language recognition system (ArSLRS);Ibrahim;Journal of King Saud University-Computer and Information Sciences,2018

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