Deep Acoustic Modelling for Quranic Recitation – Current Solutions and Future Directions

Abstract

The Holy Quran has the utmost importance for the Muslim community, and to get a full reward, the Quran should be read according to the rules mentioned. In the past few years, this field has gained a lot of importance in the eyes of researchers who aim to automate the Quranic reading and understanding process with the help of Machine Learning and Deep Learning, knowing it has a lot of challenges. To date, there are a lot of research categories explored. However, still, there lacks a few holistic, including one detailed survey of all the categories and methodologies used to solve problems. We focused the paper on being a one-stop-shop for the people interested so they could find (i) all related information and (ii) future gaps in research. This paper provides a detailed survey on Deep Modeling for Quranic Recitation to address these challenges. We discussed all possible categories of speech analysis, including the most advanced feature extraction techniques, mispronunciation detection using Tajweed rules, Reciters and speech dialect classification, and implementation of Automatic Speech Recognition (ASR) on Quranic Recitations. We also discussed research challenges in this domain and identified possible future gaps.