Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …

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 …

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 …

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

We propose to use neural networks for simultaneous detection and localization of multiple
sound sources in human-robot interaction. In contrast to conventional signal processing …

The ability to localize and track acoustic events is a fundamental prerequisite for equipping
machines with the ability to be aware of and engage with humans in their surrounding …

Neural-network (NN)-based methods show high performance in sound event localization
and detection (SELD). Conventional NN-based methods use two branches for a sound …

This paper presents a novel approach for indoor acoustic source localization using
microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed …