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Good-sounds.org: A framework to explore goodness in instrumental sounds

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dc.contributor.author Bandiera, Giuseppe
dc.contributor.author Romani Picas, Oriol
dc.contributor.author Tokuda, Hiroshi
dc.contributor.author Hariya, Wataru
dc.contributor.author Oishi, Koji
dc.contributor.author Serra, Xavier
dc.date.accessioned 2017-10-23T09:14:12Z
dc.date.available 2017-10-23T09:14:12Z
dc.date.issued 2016
dc.identifier.citation Bandiera G, Romani O, Tokuda H, Hariya W, Oishi K, Serra X. Good-sounds.org: A framework to explore goodness in instrumental sounds. 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. 414-9.
dc.identifier.uri http://hdl.handle.net/10230/33064
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 We introduce good-sounds.org, a community driven framework based on freesound.org to explore the concept of goodness in instrumental sounds. Goodness is considered here as the common agreed basic sound quality of an instrument without taking into consideration musical expressiveness. Musicians upload their sounds and vote on existing sounds, and from the collected data the system is able to develop sound goodness measures of relevance for music education applications. The core of the system is a database of sounds, together with audio features extracted from them using MTG’s Essentia library and user annotations related to the goodness of the sounds. The web frontend provides useful data visualizations of the sound attributes and tools to facilitate user interaction. To evaluate the framework, we carried out an experiment to rate sound goodness of single notes of nine orchestral instruments. In it, users rated the sounds using an AB vote over a set of sound attributes defined to be of relevance in the characterization of single notes of instrumental sounds. With the obtained votes we built a ranking of the sounds for each attribute and developed a model that rates the goodness for each of the selected sound attributes. Using this approach, we have succeeded in obtaining results comparable to a model that was built from expert generated evaluations.
dc.description.sponsorship This research has been partially funded by KORG Inc.
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. 414-9.
dc.rights © Giuseppe Bandiera, Oriol Romani Picas, Hiroshi Tokuda, Wataru Hariya, Koji Oishi, Xavier Serra. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Giuseppe Bandiera, Oriol Romani Picas, Hiroshi Tokuda, Wataru Hariya, Koji Oishi, Xavier Serra. “Good-sounds.org: a framework to explore goodness in instrumental sounds”, 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 Good-sounds.org: A framework to explore goodness in instrumental sounds
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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