Binaural Signal

Binaural signal processing focuses on capturing and reproducing sound as it's experienced by humans with two ears, aiming for realistic and immersive audio experiences. Current research emphasizes improving binaural signal matching (BSM) algorithms, often incorporating interaural level differences (ILDs) and advanced sound field models to handle diverse acoustic environments and limited microphone arrays, particularly for applications like virtual and augmented reality. These advancements leverage machine learning techniques, including neural networks and deep learning, to enhance spatial audio quality and speech intelligibility, impacting fields such as telepresence, robotics, and assistive hearing technologies.