EEG analysis for the assessment of auditory attention during listening
Prof. Ph.D. Haizhou Li (Computer Science)
Prof. Dr. med. Andreas Radeloff (Medicine, ENT)
Current hearing aids enhance sound but lack interaction with the brain, limiting their effectiveness. Our research shows that using acoustic or visual references, a target voice can be extracted from a multi-speaker environment. We can also recognize auditory attention from brain signals by the direction or location of the sound source. This study uses machine learning to model interactions between EEG signals and hearing aids, aiming to improve auditory perception for all users. We will address how EEG signals can help extract target voices and enhance binaural speech extraction, aiming for real-time implementation of brain-controlled hearing aids.