Performance Assessment Technologies for the Support of Musical Instrument Learning

Vsevolod Eremenko, Alia Morsi, Jyoti Narang, Xavier Serra

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.

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Paper Citation


in Harvard Style

Eremenko V., Morsi A., Narang J. and Serra X. (2020). Performance Assessment Technologies for the Support of Musical Instrument Learning.In Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSME, ISBN 978-989-758-417-6, pages 629-640. DOI: 10.5220/0009817006290640


in Bibtex Style

@conference{csme20,
author={Vsevolod Eremenko and Alia Morsi and Jyoti Narang and Xavier Serra},
title={Performance Assessment Technologies for the Support of Musical Instrument Learning},
booktitle={Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSME,},
year={2020},
pages={629-640},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009817006290640},
isbn={978-989-758-417-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Computer Supported Education - Volume 1: CSME,
TI - Performance Assessment Technologies for the Support of Musical Instrument Learning
SN - 978-989-758-417-6
AU - Eremenko V.
AU - Morsi A.
AU - Narang J.
AU - Serra X.
PY - 2020
SP - 629
EP - 640
DO - 10.5220/0009817006290640