Sparse Sound Field Representation Using Complex Orthogonal Matching Pursuit
Shaoheng Xu, Jihui Aimee Zhang, Thushara D. Abhayapala, Amy Bastine, Wei-Ting Lai, Prasanga N. Samarasinghe
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.
BibTeX
@inproceedings{icassp2024_sparsesoundfield,
title = {Sparse Sound Field Representation Using Complex Orthogonal Matching Pursuit},
author = {Shaoheng Xu and Jihui Aimee Zhang and Thushara D. Abhayapala and Amy Bastine and Wei-Ting Lai and Prasanga N. Samarasinghe},
booktitle = {ICASSP 2024},
year = {2024}
}