Title:
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A Dataset of rhythmic pattern reproductions and baseline automatic assessment system
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Author:
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Falcao, Felipe; Bozkurt, Baris; Serra, Xavier; Andrade, Nazareno; Baysal, Ozan
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Abstract:
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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. |
Abstract:
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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. |
Abstract:
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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]. |
Rights:
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© 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.
https://creativecommons.org/licenses/by/4.0/
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Document type:
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Conference Object Article - Published version |
Published by:
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International Society for Music Information Retrieval (ISMIR)
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