Audio Classification ( Holy Quran)

Holy Quran audio classification has been successfully used to recognize a variety of sounds (Misery, Gamdi, Hosary), and there has been significant interest in leveraging Machine Learning (ML). The dataset consists of three subfolders for 600 audio recording samples for three common readers (Mishary Rashid,Saad Al-Ghamdi, Hosary) that are live recordings from Surah Al-Fatiha and Al-Baqarah.

古兰经音频分类任务已成功应用于多种音频（Misery、Gamdi、Hosary）的识别，而机器学习（Machine Learning，ML）技术在该领域的应用也受到了广泛关注。本数据集包含三个子文件夹，涵盖三位知名诵经者（Mishary Rashid、Saad Al-Ghamdi、Hosary）的600条音频录音样本，所有音频均为《古兰经》《法蒂哈章》与《黄牛章》的现场诵读录音。

搜集汇总

背景与挑战

背景概述

该数据集是一个《古兰经》音频分类数据集，旨在通过机器学习识别三位常见诵读者（Mishary Rashid、Saad Al-Ghamdi、Hosary）的声音。它包含600个现场录音样本，覆盖《古兰经》首章和第二章，适用于音频分类和语音识别任务。