Audio Denoising

Audio denoising aims to remove unwanted noise from sound recordings, improving audio quality and enabling more accurate analysis. Current research heavily utilizes deep learning, employing architectures like transformers, diffusion models, and autoencoders, often framing the problem as an image generation or segmentation task to leverage advanced visual processing techniques. This field is crucial for applications ranging from enhancing animal vocalizations for biodiversity studies to improving speech recognition and robust audio fingerprinting in music identification services, impacting various scientific disciplines and technological advancements.