Performance assessment technologies for the support of musical instrument learning
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- dc.contributor.author Eremenko, Vsevolod
- dc.contributor.author Morsi, Alia
- dc.contributor.author Narang, Jyoti
- dc.contributor.author Serra, Xavier
- dc.date.accessioned 2020-04-01T08:14:41Z
- dc.date.available 2020-04-01T08:14:41Z
- dc.date.issued 2020
- dc.description Comunicació presentada a: CSEDU 2020 The 12th International Conference on Computer Supported Education, celebrada del 2 al 4 de maig de 2020, en línia.
- dc.description.abstract Recent technological developments are having a significant impact on musical instruments and singing voice learning. A proof is the number of successful software applications that are being used by aspiring musicians in their regular practice. These practicing apps offer many useful functionalities to support learning, including performance assessment technologies that analyze the sound produced by the student while playing, identifying performance errors and giving useful feedback. However, despite the advancements in these sound analysis technologies, they are still not reliable and effective enough to support the strict requirements of a professional music education context. In this article we first introduce the topic and context, reviewing some of the work done in the practice of music assessment, then going over the current state of the art in performance assessment technologies, and presenting, as a proof of concept, a complete assessment system that we have developed for supporting guitar exercises. We conclude by identifying the challenges that should be addressed in order to further advance these assessment technologies and their useful integration into professional learning contexts.en
- dc.description.sponsorship This research was partly funded by the European Research Council under the European Union’s Seventh Framework Program, as part of the TECSOME project (ERC grant agreement 768530).
- dc.format.mimetype application/pdf
- dc.identifier.citation Eremenko V, Morsi A, Narang J, Serra X. Performance assessment technologies for the support of musical instrument learning. Paper presented at: CSEDU 2020 The 12th International Conference on Computer Supported Education; 2020 May 2-4.
- dc.identifier.uri http://hdl.handle.net/10230/44130
- dc.language.iso eng
- dc.publisher SCITEPRESS – Science and Technology Publications
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/768530
- dc.rights © SCITEPRESS
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Music educationen
- dc.subject.keyword Music performance analysisen
- dc.subject.keyword Music assessmenten
- dc.subject.keyword Audio signal processingen
- dc.subject.keyword Machine learningen
- dc.subject.keyword Music information retrievalen
- dc.title Performance assessment technologies for the support of musical instrument learningen
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/acceptedVersion