Acoustic voxels
Name
Matusik_Acoustic vowels.pdf
Size
28.79 MB
Format
Adobe PDF
Checksum (MD5)
5fe72ac62cc55892c7564cbad80819aa
Author(s)
Li, Dingzeyu
Levin, David I. W.
Zheng, Changxi
Matusik, Wojciech
Date Issued
July 2016
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Li, Dingzeyu et al. “Acoustic Voxels.” ACM Transactions on Graphics 35, 4 (July 2016): 1–12 © 2016 The Author(s)
Version
Author's final manuscript
Abstract
Acoustic filters have a wide range of applications, yet customizing them with desired properties is difficult. Motivated by recent progress in additive manufacturing that allows for fast prototyping of complex shapes, we present a computational approach that automates the design of acoustic filters with complex geometries. In our approach, we construct an acoustic filter comprised of a set of parameterized shape primitives, whose transmission matrices can be precomputed. Using an efficient method of simulating the transmission matrix of an assembly built from these underlying primitives, our method is able to optimize both the arrangement and the parameters of the acoustic shape primitives in order to satisfy target acoustic properties of the filter. We validate our results against industrial laboratory measurements and high-quality off-line simulations. We demonstrate that our method enables a wide range of applications including muffler design, musical wind instrument prototyping, and encoding imperceptible acoustic information into everyday objects.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2897824.2925960
