The field of audio signal processing is moving towards more flexible and adaptive approaches, allowing for improved noise reduction and spatial control. Researchers are exploring new methods for beamforming and multichannel audio processing, which enable better signal-to-noise ratio and signal-to-interferer-and-noise ratio gain. Additionally, there is a growing interest in optimizing audio processing for virtual reality applications, particularly in addressing the challenges of Wi-Fi contention in VR streaming. Noteworthy papers include:

• Adaptive Linearly Constrained Minimum Variance Volumetric Active Noise Control, which introduces a time-domain formulation for linearly constrained minimum variance active noise control.
• Beamforming with Random Projections: Upper and Lower Bounds, which proposes the use of multiple random projections as a first-stage preprocessing scheme in a data-driven approach to dimensionality reduction and beamforming.
• Can cloud-based VR streaming handle Wi-Fi OBSS contention?, which experimentally analyzes the negative impact of contention caused by neighboring Wi-Fi networks on Virtual Reality streaming over Wi-Fi.