TY - GEN
T1 - Sparse Sound Field Representation Using Complex Orthogonal Matching Pursuit
AU - Xu, Shaoheng
AU - Zhang, Jihui Aimee
AU - Abhayapala, Thushara D.
AU - Bastine, Amy
AU - Lai, Wei-Ting
AU - Samarasinghe, Prasanga N.
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Sparse approximation
KW - Spatial audio
KW - Matching pursuit algorithms
KW - Transforms
KW - Microphone arrays
KW - Recording
KW - Speech processing
KW - Sparse Representation
KW - Sound Field Reproduction
KW - Sparse Sound Field Decomposition
KW - Complex Orthogonal Matching Pursuit
U2 - 10.1109/ICASSP48485.2024.10445940
DO - 10.1109/ICASSP48485.2024.10445940
M3 - Conference Paper
T3 - IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
SP - 1336
EP - 1340
BT - ICASSP
PB - IEEE
ER -