Article

Synthesizing sounds from rigid-body simulations

Authors:

James F. O'Brien,

Christine M. GatchalianAuthors Info & Claims

SCA '02: Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 175 - 181

https://doi.org/10.1145/545261.545290

Published: 21 July 2002 Publication History

Abstract

This paper describes a real-time technique for generating realistic and compelling sounds that correspond to the motions of rigid objects. By numerically precomputing the shape and frequencies of an object's deformation modes, audio can be synthesized interactively directly from the force data generated by a standard rigid-body simulation. Using sparse-matrix eigen-decomposition methods, the deformation modes can be computed efficiently even for large meshes. This approach allows us to accurately model the sounds generated by arbitrarily shaped objects based only on a geometric description of the objects and a handful of material parameters. We validate our method by comparing results from a simulated set of wind chimes to audio measurements taken from a real set.

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Caren MChandra KTenenbaum JRagan-Kelley JMa K(2024)Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal ImitationSIGGRAPH Asia 2024 Conference Papers10.1145/3680528.3687679(1-11)Online publication date: 3-Dec-2024
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Synthesizing sounds from rigid-body simulations

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Published In

cover image ACM Conferences

SCA '02: Proceedings of the 2002 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2002

203 pages

ISBN:1581135734

DOI:10.1145/545261

Conference Chairs:
Jessica Hodgins
Carnegie Mellon University
,
Michiel van de Panne
University of British Columbia
,
Program Chairs:
Michael F. Cohen
Microsoft Research
,
Nancy Pollard
Brown University

Copyright © 2002 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2002

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SCA02

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SIGGRAPH
EUROGRAPHICS

SCA02: Symposium on Computer Animation

July 21 - 22, 2002

Texas, San Antonio

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SCA '02 Paper Acceptance Rate 22 of 53 submissions, 42%;

Overall Acceptance Rate 183 of 487 submissions, 38%

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Cited By

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https://dl.acm.org/doi/10.1145/3680528.3687696
Caren MChandra KTenenbaum JRagan-Kelley JMa K(2024)Sketching With Your Voice: "Non-Phonorealistic" Rendering of Sounds via Vocal ImitationSIGGRAPH Asia 2024 Conference Papers10.1145/3680528.3687679(1-11)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3680528.3687679
Kim DWhitmire EBoldu RKienzle WBenko HKostakos VKay JHoang T(2024)SoundScroll: Robust Finger Slide Detection Using Friction Sound and Wrist-Worn MicrophonesProceedings of the 2024 ACM International Symposium on Wearable Computers10.1145/3675095.3676614(63-70)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675095.3676614
Jin XXu CGao RWu JWang GLi S(2024)DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference TasksACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657493(1-12)Online publication date: 13-Jul-2024
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Serafin S(2024)Sonic Interactions in Virtual EnvironmentsEncyclopedia of Computer Graphics and Games10.1007/978-3-031-23161-2_243(1702-1709)Online publication date: 5-Jan-2024
https://doi.org/10.1007/978-3-031-23161-2_243
Lu SCulbertson H(2023)Active Acoustic Sensing for Robot Manipulation2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS55552.2023.10342481(3161-3168)Online publication date: 1-Oct-2023
https://doi.org/10.1109/IROS55552.2023.10342481
Su KQian KShlizerman ETorralba AGan C(2023)Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00940(9749-9759)Online publication date: Jun-2023
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Clarke SGao RWang MRau MXu JWang JJames DWu J(2023)REALIMPACT: A Dataset of Impact Sound Fields for Real Objects2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52729.2023.00152(1516-1525)Online publication date: Jun-2023
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Agarwal VCusimano MTraer JMcDermott J(2021)Object-Based Synthesis of Scraping and Rolling Sounds Based on Non-Linear Physical Constraints2021 24th International Conference on Digital Audio Effects (DAFx)10.23919/DAFx51585.2021.9768225(136-143)Online publication date: 8-Sep-2021
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Su FJoslin C(2021)Subjective and Objective Evaluation of Procedurally-Generated Audio for Soft-Body InteractionsProceedings of the 16th International Audio Mostly Conference10.1145/3478384.3478404(1-8)Online publication date: 1-Sep-2021
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