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 …

Underwater acoustics, which is the domain that addresses phenomena related to the
generation, propagation, and reception of sound waves in water, has been applied mainly in …

Gridless direction of arrival (DOA) estimation is addressed for a 1-D non-uniform array
(NUA) of arbitrary geometry. Currently, gridless DOA estimation is solved via convex …

This paper examines the relationship between conventional beamforming and linear
supervised learning, then develops a nonlinear deep feed-forward neural network (FNN) for …

This study examines a near-field acoustic holography method consisting of a sparse
formulation of the equivalent source method, based on the compressive sensing (CS) …

Compressive sensing (CS) in acoustics has received significant attention in the last decade,
and thus motivates this special issue. CS emerged from the signal processing and applied …

Matched field processing (MFP) compares the measures to the modeled pressure fields
received at an array of sensors to localize a source in an ocean waveguide. Typically, there …

The multi-snapshot, multi-frequency sparse Bayesian learning (SBL) processor is derived
and its performance compared to the Bartlett, minimum variance distortionless response …

In this letter, we propose a novel sparse Bayesian learning (SBL) algorithm using
Generalized Double Pareto (GDP) prior to enhance the performance of direction of arrival …

Speech localization and enhancement involves sound source map** and reconstruction
from noisy recordings of speech mixtures with microphone arrays. Conventional …