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An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors.

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Title: An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors.
Authors: Krishna, N. Uday1 (AUTHOR) udayk18@saveetha.com, Priya, W. Deva1 (AUTHOR) devapriyaw.sse@saveetha.com
Source: AIP Conference Proceedings. 2025, Vol. 3267 Issue 1, p1-8. 8p.
Database: Academic Search Ultimate
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  Availability: 0
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 186472019
AccessLevel: 2
PubType: Conference
PubTypeId: conference
PreciseRelevancyScore: 0
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  Data: An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2025, Vol. 3267 Issue 1, p1-8. 8p.
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      – Type: doi
        Value: 10.1063/5.0265521
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      – Code: eng
        Text: English
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        PageCount: 8
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      – TitleFull: An efficient system of emotion detection to improve the accuracy of multitudinous audio data using random forest algorithm in comparison with K-Nearest Neighbors.
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            NameFull: Krishna, N. Uday
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            NameFull: Priya, W. Deva
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              Text: 2025
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              Y: 2025
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