Correct Pronunciation Detection for Classical Arabic Phonemes Using Deep Learning

Alqadheeb, Fatimah; Asif, Amna; Ahmad, Hafiz Farooq

doi:10.1109/widstaif52235.2021.9430236

Cited by 4 publications

(2 citation statements)

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“…The third class is classical Arabic (CA), the language used in the Holy Quran, which has been renowned globally for centuries. CA is known for its extensive grammar and vocabulary, as well as its unique recitation guidelines [15], [24].…”

Section: Introductionmentioning

confidence: 99%

“…Muslims generally strive to learn the precise recitation of CA and adhere to certain rules known as Tajweed in order to recite the Holy Quran accurately. Learning these rules is very important for all Muslims to master the recitation of the Holy Quran [15]. Consequently, building accurate Holy Quran Speech Recognition (HQSR) models represents a significant research outcome for all Muslims.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Speech Recognition Models for Holy Quran Recitation Based on Modern Approaches and Tajweed Rules: A Comprehensive Overview

Al-Fadhli,

Al-Harbi,

Cherif

2023

IJACSA

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Speech is considered the most natural way to communicate with people. The purpose of speech recognition technology is to allow machines to recognize and understand human speech, enabling them to take action based on the spoken words. Speech recognition is especially useful in educational fields, as it can provide powerful automatic correction for language learning purposes. In the context of learning the Quran, it is essential for every Muslim to recite it correctly. Traditionally, this involves an expert gari who listens to the student's recitation, identifies any mistakes, and provides appropriate corrections. While effective, this method is time-consuming. To address this challenge, apps that help students fix their recitation of the Holy Quran are becoming increasingly popular. However, these apps require a robust and error-free speech recognition model. While recent advancements in speech recognition have produced highly accurate results for written and spoken Arabic and non-Arabic speech recognition, the field of Holy Quran speech recognition is still in its early stages. Therefore, this paper aims to provide a comprehensive literature review of the existing research in the field of Holy Quran speech recognition. Its goal is to identify the limitations of current works, determine future research directions, and highlight important research in the fields of spoken and written languages.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%