P. Izquierdo Lehmann, R. F. Cádiz, and C. A. Sing Long, “Towards Maximizing a Perceptual Sweet Spot in a Reverberating Room,” in Proc. AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference, Aug. 2022, Paper 21. [Online]. Available: https://aes.org/publications/elibrary-page/?id=21851
Izquierdo Lehmann P, Cádiz RF, Sing Long CA. Towards Maximizing a Perceptual Sweet Spot in a Reverberating Room. In: AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference. Audio Engineering Society; 2022. Paper 21. Available from: https://aes.org/publications/elibrary-page/?id=21851
@inproceedings{IzquierdoLehmann2022_21851,
author = {Izquierdo Lehmann, Pedro and Cádiz, Rodrigo F. and Sing Long, Carlos A.},
title = {{Towards Maximizing a Perceptual Sweet Spot in a Reverberating Room}},
booktitle = {AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference},
note = {Paper 21},
year = {2022},
month = aug,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=21851}
}
TY - CPAPER
TI - Towards Maximizing a Perceptual Sweet Spot in a Reverberating Room
AU - Izquierdo Lehmann, Pedro
AU - Cádiz, Rodrigo F.
AU - Sing Long, Carlos A.
T2 - AES Conference: AES 2022 International Audio for Virtual and Augmented Reality Conference
M1 - Paper 21
PY - 2022
DA - 2022/08/06
UR - https://aes.org/publications/elibrary-page/?id=21851
PB - Audio Engineering Society
LA - en
AB - 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.
ER -