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Score informed tonic identification for Makam music of Turkey

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dc.contributor.author Sentürk, Sertan
dc.contributor.author Gulati, Sankalp
dc.contributor.author Serra, Xavier
dc.date.accessioned 2016-12-12T11:15:34Z
dc.date.available 2016-12-12T11:15:34Z
dc.date.issued 2013
dc.identifier.citation Şentürk S, Gulati S, Serra X. Score informed tonic identification for Makam music of Turkey. Proceedings of 14th International Society for Music Information Retrieval Conference. Curitiba, Brazil; 4-8 novembre de 2013.
dc.identifier.uri http://hdl.handle.net/10230/27728
dc.description.abstract Tonic is a fundamental concept in many music traditions/nand its automatic identification should be relevant for establishing/nthe reference pitch when we analyse the melodic/ncontent of the music. In this paper, we present two methodologies/nfor the identification of the tonic in audio recordings/nof makam music of Turkey, both taking advantage/nof some score information. First, we compute a prominent/npitch and a audio kernel-density pitch class distribution/n(KPCD) from the audio recording. The peaks in the/nKPCD are selected as tonic candidates. The first method/ncomputes a score KPCD from the monophonic melody extracted/nfrom the score. Then, the audio KPCD is circularshifted/nwith respect to each tonic candidate and compared/nwith the score KPCD. The best matching shift indicates the/nestimated tonic. The second method extracts the monophonic/nmelody of the most repetitive section of the score./nNormalising the audio prominent pitch with respect to each/ntonic candidate, the method attempts to link the repetitive/nstructural element given in the score with the respective/ntime-intervals in the audio recording. The result producing/nthe most confident links marks the estimated tonic./nWe have tested the methods on a dataset of makam music/nof Turkey, achieving a very high accuracy (94.9%) with/nthe first method, and almost perfect identification (99.6%)/nwith the second method. We conclude that score informed/ntonic identification can be a useful first step in the computational/nanalysis (e.g. expressive analysis, intonation analysis,/naudio-score alignment) of music collections involving/nmelody-dominant content.
dc.description.sponsorship This work is partly supported by the European Research/nCouncil under the European Union’s Seventh Framework/nProgram, as part of the CompMusic project (ERC grant/nagreement 267583).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof Proceedings of 14th International Society for Music Information Retrieval Conference. Curitiba, Brazil; 4-8 novembre de 2013.
dc.relation.isreferencedby http://hdl.handle.net/10230/27618
dc.relation.isreferencedby http://hdl.handle.net/10230/27772
dc.rights © ISMIR
dc.title Score informed tonic identification for Makam music of Turkey
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/acceptedVersion


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