Sound localization is a vast field of research and advancement which is used in many useful
applications to facilitate communication, radars, medical aid, and speech enhancement to …

Autonomous acoustic recorders are an increasingly popular method for low‐disturbance,
large‐scale monitoring of sound‐producing animals, such as birds, anurans, bats, and other …

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

The generalized cross-correlation (GCC) is regarded as the most popular approach for
estimating the time difference of arrival (TDOA) between the signals received at two sensors …

With advancements of wireless and sensing technologies, recent studies have
demonstrated technical feasibility and effectiveness of using acoustic signals for sensing. In …

The number of older adults with Alzheimer's disease is increasing every year. The
associated memory problems cause many difficulties for Alzheimer's patients and their …

Recently deep learning and machine learning approaches have been widely employed for
various applications in acoustics. Nonetheless, in the area of sound field processing and …

A multitude of autonomous robotic platforms collectively organized as a swarm attracts
increasing attention for remote sensing and exploration tasks. A navigation system is …

In this research, a novel sound source localization model is introduced that integrates a
convolutional neural network with a regression model (CNN-R) to estimate the sound source …