This paper investigates sound-field modeling in a realistic reverberant setting. Starting from
a few point-like microphone measurements, the goal is to estimate the direct source field …

High dimensional data arising from diverse scientific research fields and industrial
development have led to increased interest in sparse learning due to model parsimony and …

A sound field recording and reproduction method based on sparse sound field
decomposition is proposed. Most current methods are based on plane-wave or harmonic …

A novel method is proposed for generic target tracking by audio measurements from a
microphone array. To cope with noisy environments characterized by persistent and high …

A sparse representation method for multidimensional signals is proposed. In generally used
group-sparse representation algorithms, the sparsity is imposed only on a single dimension …

In this paper, a sound source localization method for simultaneously estimating both
direction-of-arrival (DOA) and distance from the microphone array is proposed. For …

Sparse representation techniques have become increasingly promising for localizing the
sound source in reverberant environment, where the multipath channel effects can be …

Acoustic source localization and dereverberation are formulated jointly as an inverse
problem. The inverse problem consists of the approximation of the sound field measured by …

We propose a sparse coding approach to address the problem of source-sensor localization
and speech reconstruction. This approach relies on designing a dictionary of spatialized …

Sparse representations of sound fields have become popular in various acoustic inverse
problems. The simplest models assume spatial sparsity, where a small number of sound …