Acoustic Voxels: Computational Optimization of Modular Acoustic Filters


Dingzeyu Li (Columbia University)
David Levin (Disney Research Pittsburgh)
Wojciech Matusik ( MIT CSAIL)
Changxi Zheng (Columbia University)


July 24, 2016

Acoustic Voxels Computational Optimization of Modular Acoustic Filters-Image1

Acoustic Tagging. By optimizing the structure of primitives (a), we control the acoustic response of an object when it is tapped (c) and thereby tag the object acoustically. Given three objects with identical shapes (b), we can use a smartphone to read the acoustic tags in realtime, by recording and analyzing the tapping sound, and thereby identify each object.

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.

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