Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study
Current music technologies can assist in the process of learning to play a musical instrument and provide objective measures for evaluating the improvement of music students in concrete music tasks. In this paper, we investigated the effects of a sound quality visual feedback system (SQVFS) in violi...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:10230/37282 |
| Acceso en línea: | http://hdl.handle.net/10230/37282 http://dx.doi.org/10.3389/fpsyg.2019.00165 |
| Access Level: | acceso abierto |
| Palabra clave: | Signal processing Audio Violin Learning e-learning EEG Music |
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Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG studyBlanco, Angel DavidRamírez, Rafael, 1966-Signal processingAudioViolinLearninge-learningEEGMusicCurrent music technologies can assist in the process of learning to play a musical instrument and provide objective measures for evaluating the improvement of music students in concrete music tasks. In this paper, we investigated the effects of a sound quality visual feedback system (SQVFS) in violin learning. In particular, we studied the EEG activity of a group of participants with no previous violin playing experience while they learned to produce a stable sound (regarding pitch, dynamics, and timbre) in order to find motor learning biomarkers in a music task. Eighteen subjects with no prior experience in violin playing were divided into two groups: participants in the first group (experimental group, N = 9) practiced with instructional videos and offline feedback from the SQVFS provided in alternation with their performance, while participants in a second group (control group, N = 9) practiced with the instructional videos only. A third group of violin experts (players with more than 6 years of experience) performed the same task for comparative purposes (N = 7). All participants were asked to perform 20 trials (4 blocks of 5 trials) consisting of a violin bowing exercise while their EEG activity and their produced sound was recorded. Significant sound quality improvements along the session were found in all participants with the exception of participants in the expert group. In addition, participants in the experimental group showed increased interest in the learning process and significant improvement after the second block not present in the control group. A significant correlation between the levels of frontal gamma band power and the sound improvement along the task was found in both the experimental and control group. This result is consistent with the temporal binding model which associates gamma band power with the role of integrating (binding) information processed in distributed cortical areas. Task complexity demands more cognitive resources, more binding and thus, gamma band power enhancement, which may be reduced as the demanded task begins to be automated as it is likely to be the case in both beginners groups.This work was partly sponsored by Fundación Memora, the Spanish TIN project TIMUL (TIN2013-48152-C2-2-R), and the European Union Horizon 2020 research and innovation program under grant agreement No. 688269 (TELMI project).Frontiers201920192019info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/37282http://dx.doi.org/10.3389/fpsyg.2019.00165reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésFrontiers in Psychology. 2019;10:165info:eu-repo/grantAgreement/EC/H2020/688269info:eu-repo/grantAgreement/ES/1PE/TIN2013-48152-C2-2-R© 2019 Blanco and Ramirez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/372822026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| title |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| spellingShingle |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study Blanco, Angel David Signal processing Audio Violin Learning e-learning EEG Music |
| title_short |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| title_full |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| title_fullStr |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| title_full_unstemmed |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| title_sort |
Evaluation of a sound quality visual feedback system for bow learning technique in violin beginners: an EEG study |
| dc.creator.none.fl_str_mv |
Blanco, Angel David Ramírez, Rafael, 1966- |
| author |
Blanco, Angel David |
| author_facet |
Blanco, Angel David Ramírez, Rafael, 1966- |
| author_role |
author |
| author2 |
Ramírez, Rafael, 1966- |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Signal processing Audio Violin Learning e-learning EEG Music |
| topic |
Signal processing Audio Violin Learning e-learning EEG Music |
| description |
Current music technologies can assist in the process of learning to play a musical instrument and provide objective measures for evaluating the improvement of music students in concrete music tasks. In this paper, we investigated the effects of a sound quality visual feedback system (SQVFS) in violin learning. In particular, we studied the EEG activity of a group of participants with no previous violin playing experience while they learned to produce a stable sound (regarding pitch, dynamics, and timbre) in order to find motor learning biomarkers in a music task. Eighteen subjects with no prior experience in violin playing were divided into two groups: participants in the first group (experimental group, N = 9) practiced with instructional videos and offline feedback from the SQVFS provided in alternation with their performance, while participants in a second group (control group, N = 9) practiced with the instructional videos only. A third group of violin experts (players with more than 6 years of experience) performed the same task for comparative purposes (N = 7). All participants were asked to perform 20 trials (4 blocks of 5 trials) consisting of a violin bowing exercise while their EEG activity and their produced sound was recorded. Significant sound quality improvements along the session were found in all participants with the exception of participants in the expert group. In addition, participants in the experimental group showed increased interest in the learning process and significant improvement after the second block not present in the control group. A significant correlation between the levels of frontal gamma band power and the sound improvement along the task was found in both the experimental and control group. This result is consistent with the temporal binding model which associates gamma band power with the role of integrating (binding) information processed in distributed cortical areas. Task complexity demands more cognitive resources, more binding and thus, gamma band power enhancement, which may be reduced as the demanded task begins to be automated as it is likely to be the case in both beginners groups. |
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2019 |
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2019 2019 2019 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10230/37282 http://dx.doi.org/10.3389/fpsyg.2019.00165 |
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http://hdl.handle.net/10230/37282 http://dx.doi.org/10.3389/fpsyg.2019.00165 |
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Inglés |
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Frontiers in Psychology. 2019;10:165 info:eu-repo/grantAgreement/EC/H2020/688269 info:eu-repo/grantAgreement/ES/1PE/TIN2013-48152-C2-2-R |
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