Composition identification in Ottoman-Turkish makam music using transposition-invariant partial audio-score alignment

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• dc.contributor.author Sentürk, Sertanca
• dc.contributor.author Serra, Xavierca
• dc.date.accessioned 2017-05-04T10:37:16Z
• dc.date.available 2017-05-04T10:37:16Z
• dc.date.issued 2016
• dc.description.abstract The composition information of audio recordings is highly valuable for many tasks such as automatic music description and music discovery. Given a music collection, two typical scenarios are retrieving the composition(s) performed in an audio recording and retrieving the audio recording( s), where a composition is performed. We present a composition identification methodology for these two tasks, which makes use of music scores. Our methodology first attempts to align a fragment of the music score of a composition with an audio recording. Next, it computes a similarity from the best obtained alignment. True audio-score pair emits a high similarity value. We repeat this procedure between all audio recordings and music scores, and filter the true pairs by a simple approach using logistic regression. The methodology is specialized according to the cultural-specific aspects of Ottoman-Turkish makam music (OTMM), achieving 0.96 and 0.95 mean average precision (MAP) for composition retrieval and performance retrieval tasks, respectively. We hope that our method would be useful in creating semantically linked music corpora for cultural heritage and preservation, semantic web applications and musicological studies.
• dc.description.sponsorship This work is partly supported 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/pdfca
• dc.identifier.citation Şentürk S, Serra X. Composition identification in Ottoman-Turkish makam music using transposition-invariant partial audio-score alignment. In: Großmann R, Hajdu G, editors. Proceedings of the 13th Sound & Music Computing Conference; 2016 31 Aug-3 Sept; Hamburg (Germany). [S.l.]: Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule für Musik und Theater; 2016. p.434-41.
• dc.identifier.uri http://hdl.handle.net/10230/32091
• dc.language.iso eng
• dc.publisher Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule für Musik und Theaterca
• dc.relation.ispartof Großmann R, Hajdu G, editors. Proceedings of the 13th Sound & Music Computing Conference; 2016 31 Aug-3 Sept; Hamburg (Germany). [S.l.]: Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule für Musik und Theater; 2016. p.434-41.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
• dc.rights © 2016 Sertan Şentürk, 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.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/3.0/
• dc.title Composition identification in Ottoman-Turkish makam music using transposition-invariant partial audio-score alignmentca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion