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Conference Paper

Convolving the Convoluted: Acoustigrammetry for Immersive Virtual Reality

Authors: Alley, Justin

AVARIG 2026: Audio for Virtual and Augmented Reality and Immersive Games · Paper 487 · June 2026

Abstract

The general practice for creating empirically informed interactive models of multivolume acoustic spaces is to discretely sample emitter-receiver pair positions. This paper outlines a new approach which instead involves the continuous 3-dimensional sampling of acoustic spaces, much as is done with 3D visual spaces in photogrammetry. To achieve this result, a first-of-its-kind consolidated ambisonic impulse response capturing apparatus has been designed and built. This apparatus combines a 3rd-order ambisonic microphone array with a 2nd-order ambisonic
loudspeaker array and is designed to be moved through a space with maximal ease. AD/DA conversion, playback, and recording are all handled on a central compute platform. In parallel, a software workflow has been developed which can be implemented in Unreal Engine, as well as other game engines. To solve general issues of spatial audio in game engines, a custom encoding and decoding framework has been implemented. Then, to map the continuous ambisonic impulse response onto a virtual space, a spline mirroring the sampling path is drawn through the space. On the DSP side, an impulse response is extracted from any arbitrary point along the spline by way of the Common-Slope Model for coupled spaces. Future work for better addressing early reflections is explored. Additionally, a special use case for visualizing acoustic energy in architectural acoustics is described.

Details

Published in
AVARIG 2026: Audio for Virtual and Augmented Reality and Immersive Games
Paper number
487
Publication date
June 30, 2026
Session subject
6DoF navigable spatial audio / soundfield interpolation, Virtual environment modelling (synthetic sound fields, reverberation)
Affiliation
University of Colorado, Denver (See document for exact affiliation information.)
Type
Conference Paper