Tadabur: A Large-Scale Quran Audio Dataset

TL;DR

Tadabur is a comprehensive large-scale Quran audio dataset with over 1400 hours from 600+ reciters, designed to advance Quranic speech research by providing diverse and extensive audio resources.

Contribution

It introduces a significantly larger and more diverse Quran audio dataset than existing resources, supporting standardized benchmarks and research in Quranic speech analysis.

Findings

Contains over 1400 hours of recitation audio from 600+ reciters

Provides substantial variation in recitation styles and recording conditions

Aims to facilitate future Quranic speech research and benchmarking

Abstract

Despite growing interest in Quranic data research, existing Quran datasets remain limited in both scale and diversity. To address this gap, we present Tadabur, a large-scale Quran audio dataset. Tadabur comprises more than 1400+ hours of recitation audio from over 600 distinct reciters, providing substantial variation in recitation styles, vocal characteristics, and recording conditions. This diversity makes Tadabur a comprehensive and representative resource for Quranic speech research and analysis. By significantly expanding both the total duration and variability of available Quran data, Tadabur aims to support future research and facilitate the development of standardized Quranic speech benchmarks.