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Melodic pattern extraction in large collections of music recordings using time series mining techniques

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dc.contributor.author Gulati, Sankalp
dc.contributor.author Serrà Julià, Joan
dc.contributor.author Ishwar, Vignesh
dc.contributor.author Serra, Xavier
dc.date.accessioned 2018-07-27T10:44:01Z
dc.date.available 2018-07-27T10:44:01Z
dc.date.issued 2014
dc.identifier.citation Gulati S, Serrà J, Ishwar V, Serra X. Melodic pattern extraction in large collections of music recordings using time series mining techniques. Paper presented at: 15th Conference of the International Society for Music Information Retrieval (ISMIR 2014); 2014 Oct 27-31; Taipei, Taiwan.
dc.identifier.uri http://hdl.handle.net/10230/35318
dc.description Comunicació presentada a la 15th International Society for Music Information Retrieval Conference (ISMIR 2014), celebrada els dies 27 a 31 d'octubre de 2014 a Taipei, Taiwan.
dc.description.abstract We demonstrate a data-driven unsupervised approach for the discovery of melodic patterns in large collections of Indian art music recordings. The approach first works on single recordings and subsequently searches in the entire music collection. Melodic similarity is based on dynamic time warping. The task being computationally intensive, lower bounding and early abandoning techniques are applied during distance computation. Our dataset comprises 365 hours of music, containing 1,764 audio recordings representing the melodic diversity of Carnatic music. A preliminary evaluation based on expert feedback on a subset of the music collection shows encouraging results. In particular, several musically interesting relationships are discovered, yielding further scope for establishing novel similarity measures based on melodic patterns.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.rights © Sankalp Gulati, Joan Serrà, Vignesh Ishwar, Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Sankalp Gulati, Joan Serrà, Vignesh Ishwar, Xavier Serra. “Melodic Pattern Extraction in Large Collections of Music Recordings Using Time Series Mining Techniques”, 15th International Society for Music Information Retrieval Conference, 2014.
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Melodic pattern extraction in large collections of music recordings using time series mining techniques
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Carnatic music
dc.subject.keyword Indian art music
dc.subject.keyword Melodic analysis
dc.subject.keyword Melodic patterns
dc.subject.keyword Motifs
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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