Diffusion Modelling approaches to EEG-based Auditory Attention Decoding
Machine learning models can analyze physiological data, such as electroencephalography (EEG), for various classification tasks. One such task is Auditory Attention Decoding (AAD), aimed at identifying the sound a person is actively attending to, offering significant benefits for users of hearing aids. However, EEG data often exhibits a low signal-to-noise ratio, and its collection is often expensi