Enhancing music learning with smart technologies

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• dc.contributor.author Ramírez, Rafael,1966-
• dc.contributor.author Canepa, Corrado
• dc.contributor.author Ghisio, Simone
• dc.contributor.author Kolykhalova, Ksenia
• dc.contributor.author Mancini, Maurizio
• dc.contributor.author Volta, Erica
• dc.contributor.author Volpe, Gualtiero
• dc.contributor.author Giraldo, Sergio
• dc.contributor.author Mayor, Oscar
• dc.contributor.author Perez, Alfonso
• dc.contributor.author Waddell, George
• dc.contributor.author Williamon, Aaron
• dc.date.accessioned 2020-01-09T08:11:01Z
• dc.date.available 2020-01-09T08:11:01Z
• dc.date.issued 2018
• dc.description Comunicació presentada a: 5th International Conference on Movement and Computing, celebrat del 28 al 30 de juny de 2018 a Gènova, Itàlia.
• dc.description.abstract Learning to play a musical instrument is a difficult task, requiring the development of sophisticated skills. Nowadays, such a learning process is mostly based on the master-apprentice model. Technologies are rarely employed and are usually restricted to audio and video recording and playback. The TELMI (Technology Enhanced Learning of Musical Instrument Performance) Project seeks to design and implement new interaction paradigms for music learning and training based on state-of-the-art multimodal (audio, image, video, and motion) technologies. Figure 1: Analysis of coordination, applying RecurrenceQuantification Analysis to the kinetic energy of the right wrist. Figure 2: A sample screen-shot of the intonation feedback on Piano Roll Mode. Figure 3: A sample screen-shot of the intonation feedback on Score View Mode. The project focuses on the violin as a case study. This practice work is intended as demo, showing to MOCO attendants the results the project obtained along two years of work. The demo simulates a setup at a higher education music institution, where attendants with any level of previous violin experience (and even with no experience at all) are invited to try the technologies themselves, performing basic tests of violin skill and pre-defined exercises under the guidance of the researchers involved in the project.
• dc.format.mimetype application/pdf
• dc.identifier.citation Ramirez R, Canepa C, Ghisio S, Kolykhalova K, Mancini M, Volta E, et al. Enhancing music learning with smart technologies. In: Camurri A, Volpe G, Mancini M, Niewiadomski R, Piana S, editors. 5th International Conference on Movement and Computing, Proceedings; 2018 Jun 28-30; Genoa, Italy. New York: Association for Computer Machinery; 2018:49. DOI: 10.1145/3212721.3212886
• dc.identifier.doi http://dx.doi.org/10.1145/3212721.3212886
• dc.identifier.isbn 978-1-4503-6504-8
• dc.identifier.uri http://hdl.handle.net/10230/43240
• dc.language.iso eng
• dc.publisher ACM Association for Computer Machinery
• dc.relation.ispartof Camurri A, Volpe G, Mancini M, Niewiadomski R, Piana S, editors. 5th International Conference on Movement and Computing, Proceedings; 2018 Jun 28-30; Genoa, Italy. New York: Association for Computer Machinery; 2018:49.
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/688269
• dc.rights © ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 5th International Conference on Movement and Computing. http://doi.acm.org/10.1145/3212721.3212886
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Violin
• dc.subject.keyword Multimodal interactive systems
• dc.subject.keyword Technology-enhanced learning
• dc.subject.keyword Music performance
• dc.title Enhancing music learning with smart technologies
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion