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Open AccessArticle

Eluding the Physical Constraints in a Nonlinear Interaction Sound Synthesis Model for Gesture Guidance

Laboratoire de Mécanique et d’Acoustique, Centre National de la Recherche Scientifique (CNRS), Unité Propre de Recherche (UPR) 7051—Aix Marseille Université, Centrale Marseille, 4 impasse Nikola Tesla, CS 40006, F-13453, Marseille cedex 13, France
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Author to whom correspondence should be addressed.
This paper is an extended version of paper published in the 16th International Conference on Digital Audio Effects (DAFx), Maynooth, Ireland, 2–5 September 2013.
Current address: Schulish School of Music, McGill University, Montreal, 555 Sherbrooke Street West, Montréal, QC H3A 1E3, Canada
Current address: Schulish School of Music, McGill University, Montreal, 555 Sherbrooke Street West, Montréal, QC H3A 1E3, Canada
Academic Editor: Vesa Valimaki
Appl. Sci. 2016, 6(7), 192; https://doi.org/10.3390/app6070192
Received: 15 March 2016 / Revised: 20 June 2016 / Accepted: 21 June 2016 / Published: 30 June 2016
(This article belongs to the Special Issue Audio Signal Processing)
In this paper, a flexible control strategy for a synthesis model dedicated to nonlinear friction phenomena is proposed. This model enables to synthesize different types of sound sources, such as creaky doors, singing glasses, squeaking wet plates or bowed strings. Based on the perceptual stance that a sound is perceived as the result of an action on an object we propose a genuine source/filter synthesis approach that enables to elude physical constraints induced by the coupling between the interacting objects. This approach makes it possible to independently control and freely combine the action and the object. Different implementations and applications related to computer animation, gesture learning for rehabilitation and expert gestures are presented at the end of this paper. View Full-Text
Keywords: friction sounds; intuitive control; gesture guidance friction sounds; intuitive control; gesture guidance
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MDPI and ACS Style

Thoret, E.; Aramaki, M.; Gondre, C.; Ystad, S.; Kronland-Martinet, R. Eluding the Physical Constraints in a Nonlinear Interaction Sound Synthesis Model for Gesture Guidance. Appl. Sci. 2016, 6, 192.

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