This paper presents a learning-based approach to the task of direction of arrival estimation
(DOA) from microphone array input. Traditional signal processing methods such as the …

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 …

In this work, a multiple sound source localization and counting method is presented, that
imposes relaxed sparsity constraints on the source signals. A uniform circular microphone …

In everyday environments, we are frequently immersed by unwanted acoustic noise and
interference while we want to listen to acoustic signals, most often speech. Technology for …

Algorithms for acoustic source localization and tracking are essential for a wide range of
applications such as personal assistants, smart homes, tele-conferencing systems, hearing …

Time difference of arrival (TDOA) estimation, which often serves as the fundamental step for
a source localization or a beamforming system, has a significant practical importance in a …

(57) ABSTRACT A processor-implemented method for spatial Sound local ization and
isolation is described. The method includes segmenting, via a processor, each of a plurality …

This paper discusses the application of convolutional neural networks (CNNs) to minimum
variance distortionless response localization schemes. We investigate the direction of arrival …

In this article, we address the problem of tracking multiple speakers via the fusion of visual
and auditory information. We propose to exploit the complementary nature and roles of …

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 …