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Score Analyzer: Extracting performance information for instrumental e-learning

Abstract : Today, most musical scores can be downloaded on the Web, often for free. However, beginners can have difficulties in finding a score appropriate to their level, and should often rely on themselves to start out on the chosen piece. In this instrumental e-Learning context, we propose a Score Analyzer service in order to automatically extract difficult parts within a MusicXML piece and suggest advice thanks to a Musical Sign Base (MSB). To do so, we first study how teachers introduce a piece to their students and propose a corresponding descriptive logic. We then identify seven criteria to characterize technical instrumental difficulties and propose methods to extract them from a MusicXML score. These criteria are implemented in a Score Analyzer prototype. Its first results are confronted to pianists' estimations. Finally we discuss the integration of this work to @-MUSE, a collaborative score annotation platform based on multimedia contents indexation.
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Contributor : Nicolas Alarcon Connect in order to contact the contributor
Submitted on : Wednesday, August 26, 2015 - 12:41:21 PM
Last modification on : Friday, January 21, 2022 - 3:27:03 AM




Véronique Sébastien, Noël Conruyt, Olivier Sébastien. Score Analyzer: Extracting performance information for instrumental e-learning. 15th International Conference on Interactive Collaborative Learning (ICL), Sep 2012, Villach, Austria. pp.1--7, ⟨10.1109/ICL.2012.6402061⟩. ⟨hal-01187226⟩



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