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

Authors :
Mitsuko Aramaki
Etienne Thoret
Sølvi Ystad
Richard Kronland-Martinet
Charles Gondre
Sons
Laboratoire de Mécanique et d'Acoustique [Marseille] (LMA )
Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)
ANR-10-CORD-0003,MetaSon,Métaphores sonores(2010)
ANR-14-CE24-0018,SoniMove,Informer, Guider et Apprendre l'Action par le Son(2014)
ANR-12-CORD-0006,PHYSIS,Modèles de synthèse audio interactifs, physiquement informé et sémantiquement contrôlables.(2012)
Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)
Source :
Applied Sciences, Applied Sciences, 2016, ⟨10.3390/app6070192⟩, Applied Sciences, Vol 6, Iss 7, p 192 (2016), Applied Sciences, MDPI, 2016, ⟨10.3390/app6070192⟩, Applied Sciences; Volume 6; Issue 7; Pages: 192
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; 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.

Details

Language :
English
ISSN :
20763417
Database :
OpenAIRE
Journal :
Applied Sciences, Applied Sciences, 2016, ⟨10.3390/app6070192⟩, Applied Sciences, Vol 6, Iss 7, p 192 (2016), Applied Sciences, MDPI, 2016, ⟨10.3390/app6070192⟩, Applied Sciences; Volume 6; Issue 7; Pages: 192
Accession number :
edsair.doi.dedup.....3c20f9f9649dc600cae97cb820759258
Full Text :
https://doi.org/10.3390/app6070192⟩