Wireless acoustic sensor networks (WASNs) are formed by a distributed group of acoustic‐
sensing devices featuring audio playing and recording capabilities. Current mobile …

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 …

This paper presents a novel approach for indoor acoustic source localization using
microphone arrays, based on a Convolutional Neural Network (CNN). In the proposed …

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 …

In the last three decades, the Steered Response Power (SRP) method has been widely
used for the task of Sound Source Localization (SSL), due to its satisfactory localization …

Inspired by the behavior of humans talking in noisy environments, we propose an embodied
embedded cognition approach to improve automatic speech recognition (ASR) systems for …

Time difference of arrival (TDOA) measurements, which are contaminated by large values of
error, known as outliers, would have a significant impact on the accuracy of sound source …

We propose an overdetermined source separation and localization method for a set of M
microphones distributed around an unknown number, N<; M, of sources. We reformulate the …

Estimation of the direction-of-arrival (DOA) of sound sources is an important step in sound
field analysis. Rigid spherical microphone arrays allow the calculation of a compact …

This paper introduces a new localization method called SVD-PHAT. The SVD-PHAT method
relies on Singular Value De-composition of the SRP-PHAT projection matrix. A kd tree is …