Multiple Sound Source Localization with SVD-PHAT
Audio and Speech Processing
2019-07-01 v1 Signal Processing
Abstract
This paper introduces a modification of phase transform on singular value decomposition (SVD-PHAT) to localize multiple sound sources. This work aims to improve localization accuracy and keeps the algorithm complexity low for real-time applications. This method relies on multiple scans of the search space, with projection of each low-dimensional observation onto orthogonal subspaces. We show that this method localizes multiple sound sources more accurately than discrete SRP-PHAT, with a reduction in the Root Mean Square Error up to 0.0395 radians.
Cite
@article{arxiv.1906.11913,
title = {Multiple Sound Source Localization with SVD-PHAT},
author = {Francois Grondin and James Glass},
journal= {arXiv preprint arXiv:1906.11913},
year = {2019}
}