| Issue |
Acta Acust.
Volume 9, 2025
|
|
|---|---|---|
| Article Number | 25 | |
| Number of page(s) | 17 | |
| Section | Building Acoustics | |
| DOI | https://doi.org/10.1051/aacus/2025011 | |
| Published online | 08 April 2025 | |
Scientific Article
Constrained least-squares and maximum-likelihood calibration of absorption coefficients in reverberation time equations
1
Sorbonne Université, CNRS, Institute Jean le Rond d’Alembert, UMR 7190, 4 Place Jussieu, 75005, Paris, France
2
University of Utah Asia Campus, 119-3 Songdo Moonhwa-Ro, Yeonsu-Gu Incheon, 21985, Republic of Korea
* Corresponding author: samuel.bellows11@gmail.com
Received:
25
November
2024
Accepted:
19
February
2025
Calibration of material properties in room acoustics simulations is essential to producing realistic results. However, the number of available algorithms for calibrating room acoustics models remain limited. This work presents two methods for calibrating absorption coefficient values of reverberation time equations. The first uses a constrained least-squares estimate, while the second uses a constrained maximum-likelihood estimate. In addition to matching measured and estimated reverberation times, stochastic simulations demonstrate that the proposed methods decrease deviations in estimated absorption coefficient values relative to the initial estimate. A case study application of the calibration method to a scattering-delay-network reverberator and geometrical acoustics models suggests the portability of the approach in calibrating more complex room acoustic numerical simulations.
Key words: Room acoustics / Geometric acoustics / Model calibration / Absorption coefficient / Reverberation time
© The Author(s), Published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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