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