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                <identifier>oai:data.mendeley.com/hy4d79wmg5.1</identifier>
                <datestamp>2022-08-30T18:36:55Z</datestamp>
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    <dc:creator>Hassan, Esraa</dc:creator>
    <dc:title>Audio Classification ( Holy Quran)</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>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.
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    <dc:subject>Computer Vision Algorithms</dc:subject>
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    <dc:identifier>doi:10.17632/hy4d79wmg5.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/hy4d79wmg5.1</dc:identifier>
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    <dc:date>2022-08-30T18:36:55Z</dc:date>
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