Sparse sound field representation using complex orthogonal matching pursuit
Sparse sound field representation using complex orthogonal matching pursuit
Spatial audio reproduction and translation for virtual, augmented, and extended reality applications require an efficient representation of the recorded sound fields. In this paper, we investigate the possible sparse representations of the sound field recorded by multiple microphones in reverberant environments. We combine the Complex Orthogonal Matching Pursuit (COMP) algorithm with the concept of distributed virtual sound sources to propose a sparse sound field representation. The technique uses recordings from a grid of microphones and transforms them into a sparse representation featuring a selected set of active virtual sources. Using simulation, we evaluate the proposed COMP approach with LASSO and IRLS methods in a reverberant room of regular size with a ceiling-mounted microphone array.
1336-1340
Xu, Shaoheng
b4a43ded-bc50-44c8-aaef-2a28a9492465
Zhang, Jihui Aimee
6c5536d1-5066-437b-987c-c2307021709d
Abhayapala, Thushara D.
5de91ea7-d2b9-41d3-b309-e1023ab5bdeb
Bastine, Amy
c16171c0-97e7-4745-809d-3a4960a0fe72
Lai, Wei-Ting
dcfaa935-74a0-460b-8917-e8077ed5717d
Samarasinghe, Prasanga N.
a82cb814-1e2f-4499-84ca-618be978db62
18 March 2024
Xu, Shaoheng
b4a43ded-bc50-44c8-aaef-2a28a9492465
Zhang, Jihui Aimee
6c5536d1-5066-437b-987c-c2307021709d
Abhayapala, Thushara D.
5de91ea7-d2b9-41d3-b309-e1023ab5bdeb
Bastine, Amy
c16171c0-97e7-4745-809d-3a4960a0fe72
Lai, Wei-Ting
dcfaa935-74a0-460b-8917-e8077ed5717d
Samarasinghe, Prasanga N.
a82cb814-1e2f-4499-84ca-618be978db62
Xu, Shaoheng, Zhang, Jihui Aimee, Abhayapala, Thushara D., Bastine, Amy, Lai, Wei-Ting and Samarasinghe, Prasanga N.
(2024)
Sparse sound field representation using complex orthogonal matching pursuit.
In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
IEEE.
.
(doi:10.1109/icassp48485.2024.10445940).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Spatial audio reproduction and translation for virtual, augmented, and extended reality applications require an efficient representation of the recorded sound fields. In this paper, we investigate the possible sparse representations of the sound field recorded by multiple microphones in reverberant environments. We combine the Complex Orthogonal Matching Pursuit (COMP) algorithm with the concept of distributed virtual sound sources to propose a sparse sound field representation. The technique uses recordings from a grid of microphones and transforms them into a sparse representation featuring a selected set of active virtual sources. Using simulation, we evaluate the proposed COMP approach with LASSO and IRLS methods in a reverberant room of regular size with a ceiling-mounted microphone array.
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Published date: 18 March 2024
Venue - Dates:
2024 IEEE International Conference on Acoustics, Speech and Signal Processing, , Seoul, Korea, Republic of, 2024-04-14 - 2024-04-19
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Local EPrints ID: 492904
URI: http://eprints.soton.ac.uk/id/eprint/492904
PURE UUID: 55b8e405-8a6a-4931-82a0-cc7355c62ebe
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Date deposited: 20 Aug 2024 16:32
Last modified: 22 Aug 2024 02:07
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Contributors
Author:
Shaoheng Xu
Author:
Jihui Aimee Zhang
Author:
Thushara D. Abhayapala
Author:
Amy Bastine
Author:
Wei-Ting Lai
Author:
Prasanga N. Samarasinghe
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