QURAN RECITER IDENTIFICATION: TECHNIQUES AND CHALLENGES

Speech-based intelligent systems are gaining an increasing popularity and importance due to their wide range of applications in our daily life. Most of the research efforts within speaker identification target the English language. However, efforts that target the Arabic language and the holy Quran are still limited. For Muslims, the Holy Quran is the main religious book of Islam. The Holy Quran verses must be read according to very restricted rules known as “Tajweed’ to guarantee the correct pronunciation of verses. The task of identifying the holy Quran reciter or reader based on many features in the corresponding acoustic wave is known as Quranic reciter identification process. It is considered a more challenging task than other speaker identification tasks as it depends on “Tajweed”. As a result, this paper provides a survey of the Holy Quran reciter identification problem, describing the proposed techniques, models and challenges in this area, focusing on the advances made during the last decade to help future researchers who aim to enhance previous results.