Neural Noise- EEG-based auditory attention decoding (AAD) aims to identify which talker a listener attends to in multi-talker (“cocktail party”) scenes so hearing devices can enhance that voice and treat others as noise.1
- Geirnaert et al. (IEEE Signal Processing Magazine, 2021) review AAD algorithms toward neurosteered hearing devices, combining speaker separation, EEG decoding, and miniaturized sensors.1
- The review provides a statistically grounded comparative study of EEG-AAD methods and highlights the main signal-processing challenges for real-world assistive listening.1
- News coverage framed related BMI progress for clinical neurology audiences; primary technical grounding is the AAD literature above (exact Neurology Today feature paper was not resolved as a distinct research DOI).1