Improved Water Sound Synthesis using Coupled Bubbles

Kangrui Xue, Ryan M. Aronson, Jui-Hsien Wang, Timothy R. Langlois, Doug L. James
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Abstract

We introduce a practical framework for synthesizing bubble-based water sounds that captures the rich inter-bubble coupling effects responsible for low-frequency acoustic emissions from bubble clouds. We propose coupled-bubble oscillator models with regularized singularities, and techniques to reduce the computational cost of time stepping with dense, time-varying mass matrices. Airborne acoustic emissions are estimated using finite-difference time-domain (FDTD) methods. We propose a simple, analytical surface-acceleration model, and a sample-and-hold GPU wavesolver that is simple and faster than prior CPU wavesolvers. Sound synthesis results are demonstrated using bubbly flows from incompressible, two-phase simulations, as well as procedurally generated examples using single-phase FLIP fluid animations. Our results demonstrate sound simulations with hundreds of thousands of bubbles, and perceptually significant frequency transformations with fuller low-frequency content.
利用耦合气泡改进水声合成
我们介绍了一个实用的框架,用于合成基于气泡的水声,该框架捕获了气泡云低频声发射的丰富的气泡间耦合效应。我们提出了具有正则奇异点的耦合气泡振子模型,以及减少密集时变质量矩阵的时间步进计算成本的技术。利用时域有限差分(FDTD)方法对机载声发射进行估计。我们提出了一个简单的分析表面加速模型,以及一个采样和保持GPU解波器,它比以前的CPU解波器简单且更快。声音合成结果演示使用不可压缩的气泡流,两相模拟,以及程序生成的例子使用单相FLIP流体动画。我们的结果展示了具有数十万个气泡的声音模拟,以及具有更充分的低频内容的感知显著频率变换。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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