BeskrivelseArguably, devices that can infer (or learn) the user's needs via non-invasive physiological measurements such as electroencephalography (EEG) and adjust themselves accordingly are the next frontier in hearing aid (HA) development. A promising approach to translating EEG signals into HA control signals is the analysis of EEG impulse responses to running speech, as obtained by cross-correlating the audio stimulus with the concurrently recorded EEG signal. Here, we used this method for examining neural correlates of the effects of directional HA processing and listener motivation on speech comprehension in noise. Groups of older participants with normal or impaired hearing listened to an audiobook embedded in realistic cafeteria noise while their EEG was recorded using mobile hardware. A HA simulator was used for providing individual amplification and for (dis)engaging a directional microphone setting. Motivation was manipulated by offering a monetary reward for good speech comprehension in half of the trials. Motivation influenced the behavioral performance of the hearing-impaired listeners, but not the EEG responses. Directional HA benefit was reflected in the behavioral performance and EEG responses of both groups, thereby illustrating the potential of the tested approach for enabling automatic HA adjustments.
|Periode||21. aug. 2019 → 23. aug. 2019|
|Begivenhedstitel||International Symposium on Auditory and Audiological Research (2019): Auditory Learning in Biological and Artificial Systems|
|Grad af anerkendelse||International|