This paper presents a novel machine-hearing system that exploits deep neural networks
(DNNs) and head movements for robust binaural localization of multiple sources in …

In many daily life communication situations, several sound sources are simultaneously
active. While normal-hearing listeners can easily distinguish the target sound source from …

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 …

The binaural microphone, which refers to a pair of microphones with artificial human-shaped
ears, is widely used in hearing aids and spatial audio recording to improve sound quality. It …

This paper presents a novel machine-hearing system that exploits deep neural networks
(DNNs) and head movements for binaural localisation of multiple speakers in reverberant …

This paper addresses the problem of localising multiple competing speakers in the presence
of room reverberation, where sound sources can be positioned at any azimuth on the …

Autonomous systems (ASs) operating in real-world environments are exposed to a plurality
and diversity of sounds that carry a wealth of information for perception in cognitive dynamic …

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 …

This study evaluates and assesses the performance of recent developments in sound
source tracking using microphone arrays from multiple drones. Stemming from a baseline …

The process of resolving mixtures of several sounds into their separate individual streams is
known as auditory scene analysis and it remains a challenging task for computational …