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A two-stage approach for tonic identification in indian art music

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dc.contributor.author Gulati, Sankalp
dc.contributor.author Salamon, Justin
dc.contributor.author Serra, Xavier
dc.contributor.other Universitat Pompeu Fabra
dc.date.accessioned 2013-02-13T10:45:26Z
dc.date.available 2013-02-13T10:45:26Z
dc.date.issued 2012
dc.identifier.citation Gulati S, Salamon J, Serra X. A two-stage approach for tonic identification in indian art music. In: Serra X, Rao P, Murthy H, Bozkurt B, editors. Proceedings of the 2nd CompMusic Workshop; 2012 Jul 12-13; Istanbul, Turkey. Barcelona: Universitat Pompeu Fabra; 2012. p. 119-127
dc.identifier.uri http://hdl.handle.net/10230/20370
dc.description.abstract In this paper we propose a new approach for tonic identification in Indian art music and present a proposal for a/ncomplete iterative system for the same. Our method splits the task of tonic pitch identification into two stages. In the first stage, which is applicable to both vocal and instrumental music, we perform a multi-pitch analysis of the audio signal to identify the tonic pitch-class. Multi-pitch analysis/nallows us to take advantage of the drone sound, which constantly/nreinforces the tonic. In the second stage we estimate the octave in which the tonic of the singer lies and is thus/nneeded only for the vocal performances. We analyse the predominant melody sung by the lead performer in order to establish the tonic octave. Both stages are individually evaluated on a sizable music collection and are shown to/nobtain a good accuracy. We also discuss the types of errors made by the method./nFurther, we present a proposal for a system that aims to incrementally utilize all the available data, both audio and metadata in order to identify the tonic pitch. It produces a tonic estimate and a confidence value, and is iterative in nature. At each iteration, more data is fed into the system/nuntil the confidence value for the identified tonic is above a defined threshold. Rather than obtain high overall accuracy for our complete database, ultimately our goal is to develop a system which obtains very high accuracy on a subset of the database with maximum confidence.
dc.description.sponsorship This research was funded by the European Research Council under the European Union's Seventh Framework Programme/n(FP7/2007-2013) / ERC grant agreement 267583 (CompMusic).
dc.format.extent 9 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Universitat Pompeu Fabra
dc.relation.ispartof Proceedings of the 2nd CompMusic Workshop; 2012 Jul 12-13; Istanbul, Turkey. Barcelona: Universitat Pompeu Fabra; 2012. p. 119-127
dc.rights © 2012 Sankalp Gulati et al. This is an open-access article distributed/nunder the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/3.0
dc.subject.other Música -- Anàlisi
dc.subject.other Música -- Índia
dc.title A two-stage approach for tonic identification in indian art music
dc.type info:eu-repo/semantics/conferenceObject
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/publishedVersion


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