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.
https://hal.archives-ouvertes.fr/hal-01954791 Contributor : Olivier CapraConnect in order to contact the contributor Submitted on : Monday, June 3, 2019 - 6:50:47 PM Last modification on : Wednesday, March 23, 2022 - 3:51:22 PM
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⟩