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Toward wave-based sound synthesis for computer animation

Authors:

Jui-Hsien Wang,

Timothy R. Langlois,

Doug L. JamesAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 37, Issue 4

Article No.: 109, Pages 1 - 16

https://doi.org/10.1145/3197517.3201318

Published: 30 July 2018 Publication History

Abstract

We explore an integrated approach to sound generation that supports a wide variety of physics-based simulation models and computer-animated phenomena. Targeting high-quality offline sound synthesis, we seek to resolve animation-driven sound radiation with near-field scattering and diffraction effects. The core of our approach is a sharp-interface finite-difference time-domain (FDTD) wavesolver, with a series of supporting algorithms to handle rapidly deforming and vibrating embedded interfaces arising in physics-based animation sound. Once the solver rasterizes these interfaces, it must evaluate acceleration boundary conditions (BCs) that involve model-and phenomena-specific computations. We introduce acoustic shaders as a mechanism to abstract away these complexities, and describe a variety of implementations for computer animation: near-rigid objects with ringing and acceleration noise, deformable (finite element) models such as thin shells, bubble-based water, and virtual characters. Since time-domain wave synthesis is expensive, we only simulate pressure waves in a small region about each sound source, then estimate a far-field pressure signal. To further improve scalability beyond multi-threading, we propose a fully time-parallel sound synthesis method that is demonstrated on commodity cloud computing resources. In addition to presenting results for multiple animation phenomena (water, rigid, shells, kinematic deformers, etc.) we also propose 3D automatic dialogue replacement (3DADR) for virtual characters so that pre-recorded dialogue can include character movement, and near-field shadowing and scattering sound effects.

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https://dl.acm.org/doi/10.1145/3680528.3687696
Wang YWang ZHuang HCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)AutoSFX: Automatic Sound Effect Generation for VideosProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681109(9923-9932)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681109
Xue KAronson RWang JLanglois TJames D(2023)Improved Water Sound Synthesis using Coupled BubblesACM Transactions on Graphics10.1145/359242442:4(1-13)Online publication date: 26-Jul-2023
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Index Terms

Toward wave-based sound synthesis for computer animation
1. Computing methodologies
  1. Computer graphics
    1. Animation
      1. Physical simulation

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 37, Issue 4

August 2018

1670 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3197517

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Copyright © 2018 ACM.

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Publication History

Published: 30 July 2018

Published in TOG Volume 37, Issue 4

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Cited By

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https://dl.acm.org/doi/10.1145/3680528.3687696
Wang YWang ZHuang HCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)AutoSFX: Automatic Sound Effect Generation for VideosProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681109(9923-9932)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681109
Xue KAronson RWang JLanglois TJames D(2023)Improved Water Sound Synthesis using Coupled BubblesACM Transactions on Graphics10.1145/359242442:4(1-13)Online publication date: 26-Jul-2023
https://doi.org/10.1145/3592424
Reed AKim JBlanford TPediredla ABrown DJayasuriya S(2023)Neural Volumetric Reconstruction for Coherent Synthetic Aperture SonarACM Transactions on Graphics10.1145/359214142:4(1-20)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592141
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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Tang ZAralikatti RRatnarajah AManocha D(2022)GWA: A Large High-Quality Acoustic Dataset for Audio ProcessingACM SIGGRAPH 2022 Conference Proceedings10.1145/3528233.3530731(1-9)Online publication date: 27-Jul-2022
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