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

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dc.contributor.author Srinivasamurthy, Ajay
dc.contributor.author Serra, Xavier
dc.date.accessioned 2016-01-28T08:13:03Z
dc.date.available 2016-01-28T08:13:03Z
dc.date.issued 2014
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.2014.6854598
dc.identifier.uri http://hdl.handle.net/10230/25679
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/pdf
dc.language.iso eng
dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
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.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=6854598
dc.title A supervised approach to hierarchical metrical cycle tracking from audio music recordings
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2014.6854598
dc.subject.keyword Rhythm
dc.subject.keyword Musical meter
dc.subject.keyword Carnatic Music
dc.subject.keyword Metrical Cycles
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

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