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Associations between music training and the dynamics of writing music by hand

Aurélien Bertiaux 1, 2 François Gabrielli 3 Mathieu Giraud 1, 2 Florence Levé 4, 2, 1
2 Algomus
MIS - Modélisation, Information et Systèmes - UR UPJV 4290, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : Learning to write music in the staff notation used in Western classical music is part of the musician’s training. However, writing music by hand is rarely taught formally, and many musicians are not aware of the characteristics of their musical handwriting. As with any symbolic expression, musical handwriting is related to the underlying cognition of the musical structures being depicted. Trained musicians read, think, and play music with high-level structures in mind. It seems natural that they would also write music by hand with these structures in mind. Moreover, improving our understanding of handwriting may help to improve both optical music recognition (OMR) and music notation and composition interfaces. We investigated associations between music training and experience and the way people write music by hand. We made video-recordings of participants’ hands while they were copying or freely writing music and analysed the sequence in which they wrote the elements contained in the musical score. The results confirmed that experienced musicians wrote faster than beginners, that they were more likely to write chords from bottom to top, and that they tended to write the note-heads first, in a flowing fashion, and only afterwards use stems and beams to emphasize grouping, and add expressive markings.
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https://hal.archives-ouvertes.fr/hal-02979816
Contributor : Mathieu Giraud Connect in order to contact the contributor
Submitted on : Tuesday, October 27, 2020 - 12:04:59 PM
Last modification on : Friday, October 8, 2021 - 4:28:17 PM

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Aurélien Bertiaux, François Gabrielli, Mathieu Giraud, Florence Levé. Associations between music training and the dynamics of writing music by hand. Musicae Scientiae, SAGE Publications, 2020, ⟨10.1177/1029864920972145⟩. ⟨hal-02979816⟩

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