  We propose a direction of arrival (DOA) estimation method that combines
sound-intensity vector (IV)-based DOA estimation and DNN-based denoising and
dereverberation. Since the accuracy of IV-based DOA estimation degrades due to
environmental noise and reverberation, two DNNs are used to remove such effects
from the observed IVs. DOA is then estimated from the refined IVs based on the
physics of wave propagation. Experiments on an open dataset showed that the
average DOA error of the proposed method was 0.528 degrees, and it outperformed
a conventional IV-based and DNN-based DOA estimation method.
