A Dataset of rhythmic pattern reproductions and baseline automatic assessment system
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- dc.contributor.author Falcao, Felipe
- dc.contributor.author Bozkurt, Baris
- dc.contributor.author Serra, Xavier
- dc.contributor.author Andrade, Nazareno
- dc.contributor.author Baysal, Ozan
- dc.date.accessioned 2019-11-07T10:08:40Z
- dc.date.available 2019-11-07T10:08:40Z
- dc.date.issued 2019
- 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 This work presents a novel dataset comprised of audio and jury evaluations for rhythmic pattern reproduction performances by students applying for a conservatory. Data was collected in-loco during entrance exams where students were asked to imitate a set of rhythmic patterns played by teachers. In addition to the pass or fail grades provided by the members of the jury during the exam sessions, a subset of the data was also evaluated by external annotators on a 4-level scale. A baseline automatic assessment system is presented to demonstrate the usefulness of the dataset. Preliminary results deliver an accuracy of 76% for a simple pass/fail logistic regression classifier and a mean average error of 0.59 for a linear regression grade estimator. The implementation is also made publicly available to serve as baseline for alternative assessments systems that may leverage the dataset.
- dc.description.sponsorship This work was conducted during a visiting scholar period at Universitat Pompeu Fabra, sponsored by the Capes Foundation within the Ministry of Education, Brazil (grant n. 88881.189929/2018-01). The dataset was collected during a project funded by the Scientific and Technological Research Council of Turkey, TUBITAK, Grant [215K017].
- dc.format.mimetype application/pdf
- dc.identifier.citation Falcao F, Bozkurt B, Serra X, Andrade N, Baysal O. A Dataset of rhythmic pattern reproductions and baseline automatic assessment system. 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. 439-45.
- dc.identifier.uri http://hdl.handle.net/10230/42772
- 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.relation.isreferencedby https://zenodo.org/record/2620357#.XcPv2DBKjIU
- dc.relation.isreferencedby https://zenodo.org/record/2619499#.XcPv2DBKjIU
- dc.relation.isreferencedby https://github.com/MTG/mast-rhythm-analysis
- dc.rights © Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: . “A dataset of rhythmic pattern reproductions and baseline automatic assessment system”, 20th International Society for Music Information Retrieval Conference, Delft, The Netherlands, 2019.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.title A Dataset of rhythmic pattern reproductions and baseline automatic assessment system
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion