Welcome to the UPF Digital Repository

Tempo estimation for music loops and a simple confidence measure

Show simple item record

dc.contributor.author Font Corbera, Frederic
dc.contributor.author Serra, Xavier
dc.date.accessioned 2017-10-30T09:03:05Z
dc.date.available 2017-10-30T09:03:05Z
dc.date.issued 2016
dc.identifier.citation Font F, Serra X. Tempo estimation for music loops and a simple confidence measure. In: Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016. Proceedings of the 17th International Society for Music Information Retrieval Conference; 2016 Aug 7-11; New York City (NY). [Canada]: ISMIR; 2016. p. 269-75.
dc.identifier.uri http://hdl.handle.net/10230/33113
dc.description Comunicació presentada a la 17th International Society for Music Information Retrieval Conference (ISMIR 2016), celebrada els dies 7 a 11 d'agost de 2016 a Nova York, EUA.
dc.description.abstract Tempo estimation is a common task within the music information retrieval community, but existing works are rarely evaluated with datasets of music loops and the algorithms are not tailored to this particular type of content. In addition to this, existing works on tempo estimation do not put an emphasis on providing a confidence value that indicates how reliable their tempo estimations are. In current music creation contexts, it is common for users to search for and use loops shared in online repositories. These loops are typically not produced by professionals and lack annotations. Hence, the existence of reliable tempo estimation algorithms becomes necessary to enhance the reusability of loops shared in such repositories. In this paper, we test six existing tempo estimation algorithms against four music loop datasets containing more than 35k loops. We also propose a simple and computationally cheap confidence measure that can be applied to any existing algorithm to estimate the reliability of their tempo predictions when applied to music loops. We analyse the accuracy of the algorithms in combination with our proposed confidence measure, and see that we can significantly improve the algorithms' performance when only considering music loops with high estimated confidence.
dc.description.sponsorship This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 688382.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016. Proceedings of the 17th International Society for Music Information Retrieval Conference; 2016 Aug 7-11; New York City (NY). [Canada]: ISMIR; 2016. p. 269-75.
dc.rights © Frederic Font and Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Frederic Font and Xavier Serra. “Tempo Estimation for Music Loops and a Simple Confidence Measure”, 17th International Society for Music Information Retrieval Conference, 2016.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.other Música -- Anàlisi
dc.title Tempo estimation for music loops and a simple confidence measure
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/688382
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

Compliant to Partaking