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 investigate the tasks of binaural source distance estimation (SDE) and
direction-of-arrival estimation (DOAE) using motion-based cues in a scenario with a walking …

Sound Event Detection and Localization (SELD) is a combined task of identifying sound
events and their corresponding direction-of-arrival (DOA). While this task has numerous …

In this paper, we present a new model for Direction of Arrival (DOA) estimation of sound
sources based on an Icosahedral Convolutional Neural Network (CNN) applied over SRP …

A deep learning-based method is proposed for jointly detecting and localizing speech
sources in a complex acoustic scene by using microphones of a hearing aid. Motivated by …

Audio-visual fusion is a promising approach for identifying multiple events occurring
simultaneously at different locations in the real world. Previous studies on audio-visual event …

Data-based and learning-based sound source localization (SSL) has shown promising
results in challenging conditions, and is commonly set as a classification or a regression …

In many signal processing applications, metadata may be advantageously used in
conjunction with a high dimensional signal to produce a desired output. In the case of …

Currently, sound source localization (SSL) techniques based on deep learning mainly rely
on traditional signal processing methods to generate input features. Nevertheless, the …

This work studies learning-based binaural sound source localization, under the influence of
head rotation in rever-berant conditions. Emphasis is on whether knowledge of head …