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Classification of music by genre based on multitudinous audio data to improve classifier accuracy using novel convolutional neural networks over support vector machine.

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Title: Classification of music by genre based on multitudinous audio data to improve classifier accuracy using novel convolutional neural networks over support vector machine.
Authors: Charan, N. Sai Sree1 (AUTHOR) saisreecharann18@saveetha.com, Priya, W. Deva1 (AUTHOR) devapriyaw.sse@saveetha.com
Source: AIP Conference Proceedings. 2025, Vol. 3270 Issue 1, p1-8. 8p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 184450201
AccessLevel: 2
PubType: Conference
PubTypeId: conference
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  Data: Classification of music by genre based on multitudinous audio data to improve classifier accuracy using novel convolutional neural networks over support vector machine.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2025, Vol. 3270 Issue 1, p1-8. 8p.
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RecordInfo BibRecord:
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    Identifiers:
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        Value: 10.1063/5.0263102
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      – Code: eng
        Text: English
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        PageCount: 8
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      – TitleFull: Classification of music by genre based on multitudinous audio data to improve classifier accuracy using novel convolutional neural networks over support vector machine.
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            NameFull: Charan, N. Sai Sree
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            NameFull: Priya, W. Deva
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              Text: 2025
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              Y: 2025
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