Room Impulse Response Estimation using Optimal Transport : Simulation-Informed Inference
Sundström, David LU ; Björkman, Anton ; Jakobsson, Andreas LU
and Elvander, Filip
LU
(2024)
32nd European Signal Processing Conference, EUSIPCO 2024
In European Signal Processing Conference
p.276-280
- Abstract
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation problem, priors are placed on the amplitudes of the RIR. Although serving as a regularizer, this type of prior is generally not useful when only approximate knowledge of the delay structure is available, which, for example, is the case when the prior is a simulated RIR from an approximation of the room geometry. In this work, we target the delay... (More)
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation problem, priors are placed on the amplitudes of the RIR. Although serving as a regularizer, this type of prior is generally not useful when only approximate knowledge of the delay structure is available, which, for example, is the case when the prior is a simulated RIR from an approximation of the room geometry. In this work, we target the delay structure itself, constructing a prior based on the concept of optimal transport. As illustrated using both simulated and measured data, the resulting method is able to beneficially incorporate information even from simple simulation models, displaying considerable robustness to perturbations in the assumed room dimensions and its temperature.
(Less)
- author
- Sundström, David
LU
; Björkman, Anton
; Jakobsson, Andreas
LU
and Elvander, Filip
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- optimal transport, Room impulse response, spatial audio modelling
- host publication
- 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
- series title
- European Signal Processing Conference
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 32nd European Signal Processing Conference, EUSIPCO 2024
- conference location
- Lyon, France
- conference dates
- 2024-08-26 - 2024-08-30
- external identifiers
-
- scopus:85208442097
- ISSN
- 2219-5491
- ISBN
- 9789464593617
- DOI
- 10.23919/EUSIPCO63174.2024.10715479
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 European Signal Processing Conference, EUSIPCO. All rights reserved.
- id
- 8fa98421-03ba-4c0d-bb65-774b1437ec32
- date added to LUP
- 2024-11-15 15:37:39
- date last changed
- 2025-04-04 14:29:52
@inproceedings{8fa98421-03ba-4c0d-bb65-774b1437ec32,
abstract = {{<p>The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals, such as speech or music, remains a challenging problem due to, e.g., low signal-to-noise ratios, finite sample lengths, and poor spectral excitation. Commonly, in order to improve the conditioning of the estimation problem, priors are placed on the amplitudes of the RIR. Although serving as a regularizer, this type of prior is generally not useful when only approximate knowledge of the delay structure is available, which, for example, is the case when the prior is a simulated RIR from an approximation of the room geometry. In this work, we target the delay structure itself, constructing a prior based on the concept of optimal transport. As illustrated using both simulated and measured data, the resulting method is able to beneficially incorporate information even from simple simulation models, displaying considerable robustness to perturbations in the assumed room dimensions and its temperature.</p>}},
author = {{Sundström, David and Björkman, Anton and Jakobsson, Andreas and Elvander, Filip}},
booktitle = {{32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings}},
isbn = {{9789464593617}},
issn = {{2219-5491}},
keywords = {{optimal transport; Room impulse response; spatial audio modelling}},
language = {{eng}},
pages = {{276--280}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{European Signal Processing Conference}},
title = {{Room Impulse Response Estimation using Optimal Transport : Simulation-Informed Inference}},
url = {{http://dx.doi.org/10.23919/EUSIPCO63174.2024.10715479}},
doi = {{10.23919/EUSIPCO63174.2024.10715479}},
year = {{2024}},
}