Smartajweed Automatic Recognition of Arabic Quranic Recitation Rules
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Abstract (arXiv)
Tajweed is a set of rules to read the Quran in a correct Pronunciation of the letters with all its Qualities, while Reciting the Quran. which means you have to give every letter in the Quran its due of characteristics and apply it to this particular letter in this specific situation while reading, which may differ in other times. These characteristics include melodic rules, like where to stop and for how long, when to merge two letters in pronunciation or when to stretch some, or even when to put more strength on some letters over other. Most of the papers focus mainly on the main recitation rules and the pronunciation but not (Ahkam AL Tajweed) which give different rhythm and different melody to the pronunciation with every different rule of (Tajweed). Which is also considered very important and essential in Reading the Quran as it can give different meanings to the words. In this paper we discuss in detail full system for automatic recognition of Quran Recitation Rules (Tajweed) by using support vector machine and threshold scoring system
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Dec 2020.
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Citing papers per year: 2023: 2; 2024: 0; 2025: 1; 2026: 3.
6 papers.
- 2023Quran Recitation Recognition using End-to-End Deep Learningcited by 3
- 2023Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learningcited by 2
- 2026A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Compositioncited by 2
- 2025A Critical Review of the Need for Knowledge-Centric Evaluation of Quranic Recitationcited by 0
- 2026Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Datacited by 0
- 2026What Counts as a Mistake? Annotating Recitation Events in Quran Memorization Transcriptscited by 0
- 2026What Counts as a Mistake? Annotating Recitation Events in Quran Memorization Transcripts10 Sep 2026
- 2026Autoresearch with Coding Agents: Generalizers and Metric-Maximizers on Quran Recitation Data20 Jul 2026
- 2026A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition18 Jun 2026
- 2025A Critical Review of the Need for Knowledge-Centric Evaluation of Quranic Recitation14 Oct 2025
- 2023Quran Recitation Recognition using End-to-End Deep Learning10 May 2023
- 2023Mispronunciation Detection of Basic Quranic Recitation Rules using Deep Learning10 May 2023