  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.
