Despite surveillance systems becoming increasingly ubiquitous in our living environment,
automated surveillance, currently based on video sensory modality and machine …

Spatial audio has been studied for several decades, but has seen much renewed interest
recently due to advances in both software and hardware for capture and playback, and the …

In this self-contained survey/review paper, we systematically investigate the roots of
Bayesian filtering as well as its rich leaves in the literature. Stochastic filtering theory is …

Recent developments have demonstrated that particle filtering is an emerging and powerful
methodology, using Monte Carlo methods, for sequential signal processing with a wide …

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

A method is proposed that provides an approximation of the acoustic energy decay (energy–
time curve) in room impulse responses generated using the image-source technique. A …

A complete overview of distant automatic speech recognition The performance of
conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon …

In this article, we present a new single sound source DOA estimation and tracking system
based on the well-known SRP-PHAT algorithm and a three-dimensional Convolutional …

Mobile robots in real-life settings would benefit from being able to localize and track sound
sources. Such a capability can help localizing a person or an interesting event in the …

Human–robot interaction in natural settings requires filtering out the different sources of
sounds from the environment. Such ability usually involves the use of microphone arrays to …