Hearing Technology

The lab of Prof. Verhulst adopts an interdisciplinary approach to study how sound and speech are encoded along the auditory pathway. By combining computational modeling with multi-channel EEG, otoacoustic emissions and psychoacoustics, we offer a comprehensive view on how hearing works, and how it is degraded after hearing loss.

We develop EEG technology that can be integrated with wearables, and that offers sensitive clinical diagnostic methods that isolates the "hidden hearing loss" (synaptopathy) aspect of hearing problems. We offer model-based individual treatment strategies for the ever-growing noise-exposed and ageing population, and use our knowledge to develop effective prevention methods and an overall understanding of how people operate in an auditory context.

Lastly, we develop technologies for augmented and machine hearing based on the remarkable properties of human hearing and the latest machine learning techniques.

Expertise & research methods

• Computational model-based protocols for precision diagnostics of sensorineural hearing loss and hearing-aid algorithm design.
• Integrating auditory EEG technologies within wearables and smart-phone technologies.
• Machine-learning approaches to noise reduction and acoustic scene analysis.
• New technologies for auditory applications, soundscapes and virtual acoustics. 

From models to measurements

• Computational modelling of the human auditory system
• Double-walled, acoustically shielded measurement booths
• Insert earphones
• Psychoacoustic setups to study sound perception
• Anechoic room
• Multichannel EEG and otoacoustic emission measurements

Research projects