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Multiple Viewpoint Systems for Music Classification

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2013Publisher:Informa UK LimitedJournal:Journal of New Music Research, volume 42, pages 19-26 (issn: 0929-8215, eissn: 1744-5027, Copyright policy )
Authors: Darrell C. Conklin;

doi: 10.1080/09298215.2013.776611

Multiple Viewpoint Systems for Music Classification

Abstract

Abstract This paper describes a new statistical modelling method for music classification. The method is an extension of the multiple viewpoint method for music prediction and generation. A multiple viewpoint system significantly outperforms all component viewpoints on the tasks of folk tune genre and region classification. The method is successfully applied to predict the genres of unlabelled Basque folk tunes.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Top 10%
Top 10%
Top 10%
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