Sound source localization (SSL) in a robotic platform has been essential in the overall
scheme of robot audition. It allows a robot to locate a sound source by sound alone. It has an …

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 this paper, we propose a convolutional recurrent neural network for joint sound event
localization and detection (SELD) of multiple overlapping sound events in three-dimensional …

Transmission applications in wireless networks have brought unprecedented demands. The
demand for high-performance wireless transmission is increasing day by day. Antenna …

Lacking of adaptation to various array imperfections is an open problem for most high-
precision direction-of-arrival (DOA) estimation methods. Machine learning-based methods …

Supervised learning-based methods for source localization, being data driven, can be
adapted to different acoustic conditions via training and have been shown to be robust to …

This paper proposes a deep neural network for estimating the directions of arrival (DOA) of
multiple sound sources. The proposed stacked convolutional and recurrent neural network …

A convolution neural network (CNN) based classification method for broadband DOA
estimation is proposed, where the phase component of the short-time Fourier transform …

In this paper, a novel system architecture including a massive multi-input multi-output
(MIMO) or a reconfigurable intelligent surface (RIS) and multiple autonomous vehicles is …

In this letter, a deep learning framework for direction of arrival (DOA) estimation is
developed. We first show that the columns of the array covariance matrix can be formulated …