Abstract
Body movement and embodied knowledge play an important part in how we express and understand music. The gestures of a musician playing an instrument are part of a shared knowledge that contributes to musical expressivity by building expectations and influencing perception. In this study, we investigate the extent in which the movement vocabulary of violin performance is part of the embodied knowledge of individuals with no experience in playing the instrument. We asked people who cannot play the violin to mime a performance along an audio excerpt recorded by an expert. They do so by using a silent violin, specifically modified to be more accessible to neophytes. Preliminary motion data analyses suggest that, despite the individuality of each performance, there is a certain consistency among participants in terms of overall rhythmic resonance with the music and movement in response to melodic phrasing. Individualities and commonalities are then analysed using Functional Principal Component Analysis.
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Notes
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L = Left; R = Right; F = Front; B = Back. A similar configuration can be found in [5].
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Used to obtain an asymmetrical marker set, useful for marker identification and tracking. Not used for analysis.
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The delay is plausibly due to the fact that the neophytes follow the audio recorded during the expert’s performance, therefore their movements slightly lag behind the ones of the expert.
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Acknowledgements
The authors would like to thank Alexander Refsum Jensenius and all the members of the fourMs - Music, Mind, Motion, Machines research group at the University of Oslo, Norway, for their hospitality and knowledgeable support. Special thanks to all the participants of the study and to Pierre-Emmanuel Largeron for his valuable input.
This study was partially realised under the FWO-project “Foundations of expressive timing control in music”.
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Visi, F., Coorevits, E., Schramm, R., Miranda, E.R. (2016). Analysis of Mimed Violin Performance Movements of Neophytes. In: Kronland-Martinet, R., Aramaki, M., Ystad, S. (eds) Music, Mind, and Embodiment. CMMR 2015. Lecture Notes in Computer Science(), vol 9617. Springer, Cham. https://doi.org/10.1007/978-3-319-46282-0_6
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