Spatial audio has been studied for several decades, but has seen much renewed interest
recently due to advances in both software and hardware for capture and playback, and the …

Recently deep learning and machine learning approaches have been widely employed for
various applications in acoustics. Nonetheless, in the area of sound field processing and …

To auralise a room's acoustics in six degrees-of-freedom (6DoF) virtual reality (VR), a dense
set of spatial room impulse response (SRIR) measurements is required, so interpolating …

The acoustics of coupled rooms is often more complex than single rooms due to the
increase in features such as double-slope decays, direct sound occlusion and anisotropic …

The feedback delay network (FDN) is a popular filter structure to generate artificial spatial
reverberation. A common requirement for multichannel late reverberation is that the output …

Convolution with spatial Room Impulse Responses can achieve realistic auralizations.
When combined with interpolation between spatially distributed RIRs, this technique can be …

This article formulates and evaluates four different methods for six-degrees-of-freedom
binaural reproduction of head-worn microphone array recordings, which may find …

The reconstruction of sound fields over large domains is a challenging task that often
requires a large number of measurements. To overcome this challenge, sound field …

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

Acoustic imaging is powerful in collecting spatial information of acoustic sources into a
visual representation. In this paper, we focus on the analysis of the exterior acoustic field …