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 …

The problem of position estimation has always been widely discussed in the field of wireless
communication. In recent years, deep learning technology is rapidly develo** and …

Audio-visual signals can be used jointly for robotic perception as they complement each
other. Such multi-modal sensory fusion has a clear advantage, especially under noisy …

Deep neural networks have been successfully applied to sound direction-of-arrival
estimation under challenging conditions. However, such a learning-based approach …

This paper presents a deep learning-based approach for the spatiotemporal reconstruction
of sound fields using generative adversarial networks. The method utilises a plane wave …

Although sound source localization is a desirable technique in many communication
systems and intelligence applications, the distortion caused by diffuse noise or reverberation …

This paper is about acoustic event detection and sound source localisation in urban
scenarios. Specifically, we are interested in detecting and localising horns and sirens of …

Generalized Cross Correlation (GCC) is the most popular localization technique over the
past decades and can be extended with the beamforming method eg Steered Response …

Utilizing hydrophone arrays for detecting underwater acoustic communication (UWAC)
signals leverages spatial information to enhance detection efficiency and expand the …

BeamLearning: An end-to-end deep learning approach for the angular localization of sound
sources using raw multichannel acoustic pressure dataa) | The Journal of the Acoustical …