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A score-informed computational description of svaras using a statistical model

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dc.contributor.author Sentürk, Sertan
dc.contributor.author Koduri, Gopala Krishna
dc.contributor.author Serra, Xavier
dc.date.accessioned 2017-07-19T09:06:12Z
dc.date.available 2017-07-19T09:06:12Z
dc.date.issued 2016
dc.identifier.citation Sentürk S, Koduri GK, Serra X. A score-informed computational description of svaras using a statistical model. In: Großmann R, Hajdu G, editors. SMC 2016. 13th Sound & Music Computing Conference; 2016 Aug 31-Sep 3; Hamburg, Germany. Hamburg: Hochschule für Musik und Theater Hamburg; 2016. p. 427-33.
dc.identifier.uri http://hdl.handle.net/10230/32578
dc.description Comunicació presentada a: 13th Sound and Music Computing Conference (SMC 2016), celebrat a Hamburg (Alemanya), del 31 d'agost a 3 de setembre de 2016.
dc.description.abstract Musical notes are often modeled as a discrete sequence of points on a frequency spectrum with possibly different interval sizes such as just-intonation. Computational descriptions abstracting the pitch content in audio music recordings have used this model, with reasonable success in several information retrieval tasks. In this paper, we argue that this model restricts a deeper understanding of the pitch content. First, we discuss a statistical model of musical notes which widens the scope of the current one and opens up possibilities to create new ways to describe the pitch content. Then we present a computational approach that partially aligns the audio recording with its music score in a hierarchical manner first at metrical cyclelevel and then at note-level, to describe the pitch content using this model. It is evaluated extrinsically in a classification test using a public dataset and the result is shown to be significantly better compared to a state-of-the-art approach. Further, similar results obtained on a more challenging dataset which we have put together, reinforces that our approach outperforms the other.
dc.description.sponsorship This research was partly funded by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4) Hochschule für Musik und Theate
dc.rights © 2016 Sertan Senturk, Gopala Krishna Koduri, Xavier Serra. This is an open-access article distributed under 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 https://creativecommons.org/licenses/by/3.0/
dc.title A score-informed computational description of svaras using a statistical model
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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