A supervised approach to hierarchical metrical cycle tracking from audio music recordings

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• dc.contributor.author Srinivasamurthy, Ajayca
• dc.contributor.author Serra, Xavierca
• dc.date.accessioned 2016-01-28T08:13:03Z
• dc.date.available 2016-01-28T08:13:03Z
• dc.date.issued 2014ca
• dc.description.abstract A supervised approach to metrical cycle tracking from audio is presented,/nwith a main focus on tracking the tāḷa, the hierarchical cyclic/nmetrical structure in Carnatic music. Given the tāḷa of a piece, we aim/nto estimate the akṣara (lowest metrical pulse), the akṣara period, and/nthe sama (first pulse of the tāḷa cycle). Starting with percussion enhanced/naudio, we estimate the akṣara pulse period from a tempogram/ncomputed using an onset detection function. A novelty function is/ncomputed using a self similarity matrix constructed using frame level/naudio features. These are then used to estimate possible akṣara and/nsama candidates, followed by a candidate selection based on periodicity/nconstraints, which leads to the final estimates. The algorithm/nis tested on an annotated collection of 176 pieces spanning four different/ntāḷas. Though applied to Carnatic music, the framework presented/nis general and can be extended to other music cultures with/ncyclical metrical structures.
• dc.description.sponsorship This work is partly supported by the European Research Council under/nthe European Union’s Seventh Framework Program, as part of the CompMusic/nproject (ERC grant agreement 267583).
• dc.format.mimetype application/pdfca
• dc.identifier.citation Srinivasasmurthy A, Serra X. A supervised approach to hierarchical metrical cycle tracking from audio music recordings. In: 2014 International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. Piscataway, NJ: IEEE, 2014. p. 5237-5241. DOI 10.1109/ICASSP.2014.6854598ca
• dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2014.6854598
• dc.identifier.uri http://hdl.handle.net/10230/25679
• dc.language.iso engca
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof 2014 International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. Piscataway, NJ: IEEE, 2014. p. 5237-5241.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583ca
• dc.rights © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works./nThe final published article can be found at http://ieeexplore.ieee.org/xpls/icp.jsp?arnumber=6854598ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.subject.keyword Rhythm
• dc.subject.keyword Musical meter
• dc.subject.keyword Carnatic Music
• dc.subject.keyword Metrical Cycles
• dc.title A supervised approach to hierarchical metrical cycle tracking from audio music recordingsca
• dc.type info:eu-repo/semantics/conferenceObjectca
• dc.type.version info:eu-repo/semantics/acceptedVersionca