Room Acoustic

Room acoustics research focuses on understanding and manipulating the sound field within enclosed spaces, aiming to improve sound quality, localization, and speech intelligibility. Current research emphasizes developing advanced models, such as diffusion models and feedback delay networks, for accurate room impulse response (RIR) estimation and synthesis, often incorporating machine learning techniques for blind dereverberation and parameter estimation from single-channel recordings. These advancements have significant implications for various applications, including virtual and augmented reality, audio processing algorithms, and the design of more effective acoustic environments.