Performance assessment technologies for the support of musical instrument learning
Eremenko V, Morsi, A, Narang J, Serra X
SERRA, XAVIER; NARANG ., JYOTI; MOUSTAFA ., ALIA AHMED MORSI; EREMENKO ., VSEVOLOD;
Authors of the book
Proceedings of the 12th International Conference on Computer Supported Education
DBLP Thomsom Reuters
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
Eremenko V, Morsi, A, Narang J, Serra X. Performance assessment technologies for the support of musical instrument learning. In: AA.VV.. Proceedings of the 12th International Conference on Computer Supported Education. 1 ed. DBLP Thomsom Reuters; 2020. p. 629-640.