A deep learning approach for automatic speech recognition of The Holy Qur’ān recitations-Reference-Cited by-同舟云学术

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A deep learning approach for automatic speech recognition of The Holy Qur’ān recitations

Published:2021-06-14 Issue:4 Volume:24 Page:1017-1032
ISSN:1381-2416
Container-title:International Journal of Speech Technology
language:en
Short-container-title:Int J Speech Technol

Author:

Tantawi Imad K.,Abushariah Mohammad A. M.,Hammo Bassam H.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Link

https://link.springer.com/content/pdf/10.1007/s10772-021-09853-9.pdf

Reference54 articles.

1. Abudena, M. A. (2015). Proposal to encode Quranic marks used in Quran published in Libya. L2/15-329, Complete UTC Document Register.

2. Abushariah, M. A. (2017). TAMEEM V1. 0: Speakers and text independent Arabic automatic continuous speech recognizer. International Journal of Speech Technology, 20, 261–280.

3. Abushariah, M. A., Ainon, R. N., Zainuddin, R., Elshafei, M., & Khalifa, O. O. (2012). Phonetically rich and balanced text and speech corpora for Arabic language. Language Resources and Evaluation, 46, 601–634.

4. Abushariah, M. A., Ainon, R. N., Zainuddin, R., Khalifa, O. O. & Elshafei, M. (2010). Phonetically rich and balanced Arabic speech corpus: an overview. In International conference on computer and communication engineering (ICCCE’10) (pp. 1–6). IEEE.

5. Adda-Decker, M. & Lamel, L. (2006). Multilingual dictionaries. In Schultz, T., Kirchhoff, K. (Eds.), Multilingual Speech Processing (pp. 123–168).

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3. qArI: A Hybrid CTC/Attention-Based Model for Quran Recitation Recognition Using Bidirectional LSTMP in an End-to-End Architecture;IEEE Access;2024

4. Towards an End-to-End Speech Recognition Model for Accurate Quranic Recitation;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

5. An End-to-End Transformer-Based Automatic Speech Recognition for Qur’an Reciters;Computers, Materials & Continua;2023

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