This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

In array signal processing, the direction of arrival (DOA) of the signal source has drawn
broad research interests with its wide applications in fields such as sonar, radar …

While sound source localization (SSL) using a spherical microphone array system can be
applied to obtain visual beam patterns of source distribution maps in a range of …

In this paper, the convolution neural networks (CNN) are developed for the classification and
localization of mixed near-field and far-field sources by using the geometry of symmetric …

We demonstrate enhanced acoustic sensing arising from the synergy between resonator-
based acoustic sensor and deep learning. We numerically verify that both vibration …

Phase-mode array processing which utilizes the spherical harmonics decomposition offers a
useful framework for spherical microphone arrays. In the modal domain, one of the major …

Direction-of-arrival (DOA) estimation in environments with multiple sources and strong
reverberation remains a great challenge. In this letter, we present a novel feature, the higher …

Recent advancements in artificial intelligence (AI) have shown potential solutions to acoustic
source localization in three-dimensional space. This paper proposes a new low-complex AI …

Direction of arrival (DOA) estimation is still a challenging and fundamental problem in
acoustic signal processing. This paper proposes a new method for DOA estimation that …

Direction of arrival (DOA) estimation for multi-channel speech enhancement is a challenging
problem. In this context, this paper proposes a new method for joint DOA estimation using a …