Scraping relative chord progressions data for genre classification

dc.contributor.author	Rico Pachón, Noelia
dc.contributor.author	Díaz Rodríguez, Susana Irene
dc.contributor.author	Montes Rodríguez, Susana
dc.date.accessioned	2023-10-25T08:54:02Z
dc.date.available	2023-10-25T08:54:02Z
dc.date.issued	2021
dc.identifier.citation	Advances in Artificial Intelligence and Machine Learning, 1(1), p. 68-85 (2021); doi:10.54364/AAIML.2021.1105
dc.identifier.issn	2582-9793
dc.identifier.uri	https://hdl.handle.net/10651/69806
dc.description.sponsorship	This research was funded by Spanish Government through the MINECO grant number TIN2017-87600-P.
dc.format.extent	p. 68-85
dc.language.iso	eng
dc.relation.ispartof	Advances in Artificial Intelligence and Machine Learning
dc.rights	© 2021 Noelia Rico, et al.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165871840&doi=10.54364%2fAAIML.2021.1105&partnerID=40&md5=4936f63a026caef1b89042bf2f02b94e
dc.title	Scraping relative chord progressions data for genre classification
dc.type	journal article
dc.identifier.doi	10.54364/AAIML.2021.1105
dc.relation.projectID	MINECO/TIN2017-87600-P
dc.relation.publisherversion	http://dx.doi.org/10.54364/AAIML.2021.1105
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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