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 …

Speech enhancement and separation are core problems in audio signal processing, with
commercial applications in devices as diverse as mobile phones, conference call systems …

Data clustering has received a lot of attention and numerous methods, algorithms and
software packages are available. Among these techniques, parametric finite-mixture models …

Speaker diarization consists of assigning speech signals to people engaged in a dialogue.
An audio-visual spatiotemporal diarization model is proposed. The model is well suited for …

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

Most of the prior studies in the spatial Direction of Arrival (DoA) domain focus on a single
modality. However, humans use auditory and visual senses to detect the presence of sound …

Sequential Monte Carlo probability hypothesis density (SMC-PHD) filtering is a popular
method used recently for audio-visual (AV) multi-speaker tracking. However, due to the …

Videos with binaural audios provide an immersive viewing experience by enabling 3D
sound sensation. Recent works attempt to generate binaural audio in a multimodal learning …

Compact multi-sensor platforms are portable and thus desirable for robotics and personal-
assistance tasks. However, compared to physically distributed sensors, the size of these …