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Conference Paper

Towards Maximizing a Perceptual Sweet Spot in a Reverberating Room

Authors: Izquierdo Lehmann, Pedro; Cádiz, Rodrigo F.; Sing Long, Carlos A.

AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference · Paper 21 · August 2022

Abstract

The sweet spot can be interpreted as the region where known acoustic sources create a Spatial Auditory Illusion (SAI). Spatial audio methods aim to create a SAI over a region using an arrangement of a few loudspeakers. The authors recently proposed the Sparse Weighted Error Iteration (SWEET) method, which leverages perceptual principles and models to create a SAI over a large region of interest by maximizing the weighted area of the sweet spot.
In this work, we study the problem of maximizing the sweet spot in a room with reverberation using the SWEET method. We model reverberation using the image method. Proof-of-concept experiments show that in general SWEET outperforms a standard pressure matching method when compared in terms of their localization and coloration properties in a reverberating room.

Details

Published in
AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
Paper number
21
Publication date
August 6, 2022
Session subject
Paper
Affiliation
Pontificia Universidad Católica de Chile, Chile (See document for exact affiliation information.)
Type
Conference Paper