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Retargetting Example Sounds to Interactive Physics-Driven Animations

Cécile Picard 1, 2 Nicolas Tsingos 2 François Faure 1, 3 
1 EVASION - Virtual environments for animation and image synthesis of natural objects
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
2 REVES - Rendering and virtual environments with sound
CRISAM - Inria Sophia Antipolis - Méditerranée
3 ALCOVE - Collaborative interactive virtual environment
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : This paper proposes a new method to generate audio in the context of interactive animations driven by a physics engine. Our approach aims at bridging the gap between direct playback of audio recordings and physically-based synthesis by retargetting audio grains extracted from the recordings according to the output of a physics engine. In an off-line analysis task, we automatically segment audio recordings into atomic grains. The segmentation depends on the type of contact event and we distinguished between impulsive events, e.g. impacts or breaking sounds, and continuous events, e.g. rolling or sliding sounds. We segment recordings of continuous events into sinusoidal and transient components, which we encode separately. A technique similar to matching pursuit is used to represent each original recording as a compact series of audio grains. During interactive animations, the grains are triggered individually or in sequence according to parameters reported from the physics engine and/or user-defined procedures. A first application is simply to reduce the size of the original audio assets. Above all, our technique allows to synthesize non-repetitive sounding events and provides extended authoring capabilities.
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Submitted on : Thursday, July 15, 2010 - 4:29:08 AM
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  • HAL Id : inria-00394469, version 2



Cécile Picard, Nicolas Tsingos, François Faure. Retargetting Example Sounds to Interactive Physics-Driven Animations. AES 35th International Conference, Audio in Games, Feb 2009, London, United Kingdom. pp.Article 25. ⟨inria-00394469v2⟩



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