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 …

Binaural rendering of Ambisonic signals is of great interest in the fields of virtual reality,
immersive media, and virtual acoustics. Typically, the spatial order of head-related impulse …

Most often, virtual acoustic rendering employs real-time updated room acoustic simulations
to accomplish auralization for a variable listener perspective. As an alternative, we propose …

The synthesis of binaural signals from spherical microphone array recordings has been
recently proposed. The limited spatial resolution of the reproduced signal due to order …

Speech enhancement is a core problem in audio signal processing with commercial
applications in devices as diverse as mobile phones, conference call systems, smart …

The modeling of source directivity is a problem of longstanding interest in virtual acoustics
and auralisation. This remains the case for newer time domain volumetric wave-based …

This paper presents a novel 3DoF+ system that allows to navigate, ie, change position, in
scene-based spatial audio content beyond the sweet spot of a Higher Order Ambisonics …

This paper investigates the use of different room impulse response (RIR) simulation
methods for synthesizing training data for deep neural network-based direction of arrival …

Methods for blind estimation of a room's reverberation properties have been proposed for
applications including speech dereverberation and audio forensics. In this paper, we …

Featured Application The proposed MASS can simulate multiple signals collected by
microphone array in room acoustic environment for multi-channel speech coding and …