Spatial Audio

Spatial audio research aims to create realistic and immersive three-dimensional sound experiences, focusing on accurately capturing, processing, and reproducing sound fields. Current efforts concentrate on developing advanced neural network architectures, including convolutional and recurrent models, and employing techniques like physics-informed machine learning and contrastive learning to improve sound field estimation, source localization, and binaural reproduction. This field is crucial for enhancing applications such as virtual and augmented reality, interactive media, and accessibility technologies by providing more natural and engaging auditory experiences.