Please use this identifier to cite or link to this item: http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9846
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dc.contributor.authorDharmani, Ayush-
dc.contributor.authorPrateek [Guided by]-
dc.date.accessioned2023-09-03T05:23:35Z-
dc.date.available2023-09-03T05:23:35Z-
dc.date.issued2023-
dc.identifier.urihttp://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9846-
dc.descriptionEnrolment No. 191262en_US
dc.description.abstractThe music industry has undergone significant changes in recent years, both in its conventional existence and in the form of music created. The popularity of the music industry has grown, and with it, the market for different music styles. Music not only brings individuals together, but also provides insight into various cultures. To deliver better recommendations and suggestions to people, music needs to be classified into genres to meet the categorical needs of consumers. However, classifying music into different genres is a challenging task in the area of music information retrieval (MIR), and there have been several attempts to classify music using various machine learning approaches.en_US
dc.language.isoen_USen_US
dc.publisherJaypee University of Information Technology, Solan, H.P.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectMusicen_US
dc.subjectMachine learningen_US
dc.subjectDeep learningen_US
dc.titleClassification of Songs based on Genre using ML,DL Algorithmsen_US
dc.typeProject Reporten_US
Appears in Collections:B.Tech. Project Reports

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