Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques
The development of artificial intelligence technologies, such as speech recognition technology, has accelerated in recent decades. Applications that rely on speech recognition technology, such as voice assistants, have also accelerated, and these applications reduce job completion time and effort. T...
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Faculté Chariaa Ait Meloul
2024
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my.iium.irep.1132972024-07-26T03:15:08Z http://irep.iium.edu.my/113297/ Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques Shaklawoon, Omar Saleh Shafter, Ali Salem Abuzaraida, Mustafa Ali Zeki, Akram M. Attarbashi, Zainab QA75 Electronic computers. Computer science QA76 Computer software The development of artificial intelligence technologies, such as speech recognition technology, has accelerated in recent decades. Applications that rely on speech recognition technology, such as voice assistants, have also accelerated, and these applications reduce job completion time and effort. This technology relies on its work on the handling of natural language processing (NLP) and neural networks. In this study, we used a model based on Hidden Markov Model (HMM), which is one of the most well-known model which used in speech recognition approaches. Based on that, the user can recite the Qur'an on the proposed system that helps anyone who wants to review the memorization of the Qur'an. The system will give an alert in case of making any mistake in the order of the Verses, and help to know the next Verse by showing it in text. The process is done by the speech recognition system through recognizing the speech-to-text and comparing it with text in the database. The results show that, the system achieved an accuracy rate of 96%. Faculté Chariaa Ait Meloul 2024-05 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/113297/7/113297_Monitoring%20the%20memorization%20of%20the%20Holy%20Qur%27an.pdf Shaklawoon, Omar Saleh and Shafter, Ali Salem and Abuzaraida, Mustafa Ali and Zeki, Akram M. and Attarbashi, Zainab (2024) Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques. In: Artificial Intelligence in Sharia and Legal Sciences, Ait Meloul, Morocco. |
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QA75 Electronic computers. Computer science QA76 Computer software Shaklawoon, Omar Saleh Shafter, Ali Salem Abuzaraida, Mustafa Ali Zeki, Akram M. Attarbashi, Zainab Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
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The development of artificial intelligence technologies, such as speech recognition technology, has accelerated in recent decades. Applications that rely on speech recognition technology, such as voice assistants, have also accelerated, and these applications reduce job completion time and effort. This technology relies on its work on the handling of natural language processing (NLP) and neural networks. In this study, we used a model based on Hidden Markov Model (HMM), which is one of the most well-known model which used in speech recognition approaches. Based on that, the user can recite the Qur'an on the proposed system that helps anyone who wants to review the memorization of the Qur'an. The system will give an alert in case of making any mistake in the order of the Verses, and help to know the next Verse by showing it in text. The process is done by the speech recognition system through recognizing the speech-to-text and comparing it with text in the database. The results show that, the system achieved an accuracy rate of 96%. |
format |
Proceeding Paper |
author |
Shaklawoon, Omar Saleh Shafter, Ali Salem Abuzaraida, Mustafa Ali Zeki, Akram M. Attarbashi, Zainab |
author_facet |
Shaklawoon, Omar Saleh Shafter, Ali Salem Abuzaraida, Mustafa Ali Zeki, Akram M. Attarbashi, Zainab |
author_sort |
Shaklawoon, Omar Saleh |
title |
Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
title_short |
Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
title_full |
Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
title_fullStr |
Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
title_full_unstemmed |
Monitoring the memorization of the holy Qur'an based on speech recognition and NLP techniques |
title_sort |
monitoring the memorization of the holy qur'an based on speech recognition and nlp techniques |
publisher |
Faculté Chariaa Ait Meloul |
publishDate |
2024 |
url |
http://irep.iium.edu.my/113297/7/113297_Monitoring%20the%20memorization%20of%20the%20Holy%20Qur%27an.pdf http://irep.iium.edu.my/113297/ |
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13.188404 |