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Toward Augmented Familiarity of the Audience with Digital Musical Instruments

Abstract : The diversity and complexity of Digital Musical Instruments often lead to a reduced appreciation of live performances by the audience. This can be linked to the lack of familiarity they have with the instruments. We propose to increase this familiarity thanks to a trans-disciplinary approach in which signals from both the musician and the audience are extracted, familiarity analyzed, and augmentations dynamically added to the instruments. We introduce a new decomposition of familiarity and the concept of correspondences between musical gestures and results. This paper is both a review of research that paves the way for the realization of a pipeline for augmented familiarity, and a call for future research on the identified challenges that remain before it can be implemented.
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Olivier Capra, Florent Berthaut, Laurent Grisoni. Toward Augmented Familiarity of the Audience with Digital Musical Instruments. Music Technology with Swing, Springer, pp.558-573, 2018, 978-3-030-01691-3. ⟨hal-01954791⟩

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