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An End-to-End Transformer-Based Automatic Speech Recognition for Qur’an Reciters

Mohammed Hadwan1,2,*, Hamzah A. Alsayadi3,4, Salah AL-Hagree5

1 Department of Information Technology, College of Computer, Qassim University, Buraydah, 51452, Saudi Arabia
2 Department of Computer Science, College of Applied Sciences, Taiz University, Taiz, 6803, Yemen
3 Computer Science Department, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, 11566, Egypt
4 Computer Science Department, Faculty of Sciences, Ibb University, Yemen
5 Department of Computer Sciences & Information, Ibb University, Yemen

* Corresponding Author: Mohammed Hadwan. Email: email

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