The topic of spherical microphone array signal processing has been gaining importance
since the publications of Meyer and Elko around 2002, and fuelled by many others since …

This article develops a semi-supervised algorithm to address the challenging multi-source
localization problem in a noisy and reverberant environment, using a spherical harmonics …

In this paper, we propose an efficient technique for estimating individual power spectral
density (PSD) components, ie, PSD of each desired sound source as well as of noise and …

Hands-free capture of speech often requires extraction of sources from a certain spot of
interest (SOI), while reducing interferers and background noise. Although state-of-the-art …

We propose a denoising methodology for spatial audio recordings acquired with spherical
microphone arrays and encoded with Higher Order Ambisonics (HOA). The goal is to …

In scenes with noise and overlap** speakers, directionally extracting audio tracks
corresponding to individual speakers is crucial for immersive and interactive spatial audio …

Over recent years, spatial acoustic signal processing using higher order microphone arrays
in the spherical harmonics domain has been a popular research topic. This paper uses a …

For many applications in speech communications and speechbased human-machine
interaction, a reliable Voice Activity Detection (VAD) is crucial. Conventional methods for …

Complex-valued minimum variance distortionless response (MVDR) beamforming for
wideband signals has very high computational amount. In this paper, we design a novel real …

This paper discovers rules-of-thumb on how the estimation precision for an incident source's
azimuth-polar direction-of-arrival (⁠ ϕ⁠, θ) depends on the number (L) of identical isotropic …