@article{10.1145/3592424,
author = {Xue, Kangrui and Aronson, Ryan M. and Wang, Jui-Hsien and Langlois, Timothy R. and James, Doug L.},
title = {Improved Water Sound Synthesis using Coupled Bubbles},
year = {2023},
issue_date = {August 2023},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {42},
number = {4},
issn = {0730-0301},
url = {https://doi.org/10.1145/3592424},
doi = {10.1145/3592424},
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.},
journal = {ACM Trans. Graph.},
month = {jul},
articleno = {127},
numpages = {13},
keywords = {fluid animation, sound synthesis, acoustic bubbles}
}