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dc.contributor.author Pauwels, Johan
dc.contributor.author O’Hanlon, Ken
dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
dc.contributor.author Sandler, Mark
dc.date.accessioned 2019-11-07T10:08:44Z
dc.date.available 2019-11-07T10:08:44Z
dc.date.issued 2019
dc.identifier.citation Pauwels J, O’Hanlon K, Gómez E, Sandler MB. 20 Years of automatic chord recognition from audio. In: Proceedings of the 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019): 2019 Nov 4-8; Delft, The Netherlands. [Canada]: ISMIR; 2019. p. 54-63.
dc.identifier.uri http://hdl.handle.net/10230/42773
dc.description Comunicació presentada a: 20th annual conference of the International Society for Music Information Retrieval (ISMIR) celebrat del 4 al 8 de novembre de 2019 a Delft, Països Baixos.
dc.description.abstract In 1999, Fujishima published Realtime Chord Recognition of Musical Sound: a System using Common Lisp Music. This paper kickstarted an active research topic that has been popular in and around the ISMIR community. The field of Automatic Chord Recognition (ACR) has evolved considerably from early knowledge-based systems towards data-driven methods, with neural network approaches arguably being central to current ACR research. Nonetheless, many of its core issues were already addressed or referred to in the Fujishima paper. In this paper, we review those twenty years of ACR according to these issues. We furthermore attempt to frame current directions in the field in order to establish some perspective for future research.
dc.description.sponsorship This work has been funded by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/L019981/1.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof Proceedings of the 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019): 2019 Nov 4-8; Delft, The Netherlands. [Canada]: ISMIR; 2019.
dc.rights © Johan Pauwels, Ken O’Hanlon, Emilia Gómez and Mark B. Sandler. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Johan Pauwels, Ken O’Hanlon, Emilia Gómez and Mark B. Sandler. “20 Years of Automatic Chord Recognition from Audio”, 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019.
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title 20 Years of automatic chord recognition from audio
dc.type info:eu-repo/semantics/conferenceObject
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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