Binaural Dataset

Binaural datasets, recordings capturing sound as heard by two ears, are crucial for advancing research in spatial audio processing and understanding human auditory perception. Current research focuses on developing and utilizing these datasets to improve algorithms for tasks like sound event localization, speech enhancement, and binaural audio synthesis, often employing deep neural networks (DNNs) and large language models (LLMs) for enhanced performance. These advancements have implications for various applications, including hearing aid technology, virtual and augmented reality, and the creation of more realistic and immersive soundscapes.