Hearing Technology

  • 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. 


Research projects: 
  • Oldenburg University (Prof. Debener)
  • Aalto University (Profs. Pulkki)
Tools and Valorisation: 
Key Publications: 

Baby D and Verhulst S (in review). Biophysically-inspired features improve the generalizability of neural network-based speech enhancement systems. Interspeech

Verhulst S, Altoè A, Vasilkov V. (2018) Computational modeling of the human auditory periphery: auditory-nerve responses, evoked potentials and hearing loss. Hearing Research, 360, 55-75.

Saremi A, Beutelmann R, Dietz M, Kretzberg J, Ashida A, Verhulst S (2016) Comparative Study of Seven Auditory Filter Models of the Human Cochlea. Journal of the Acoustical Society of America 140 (3), 1618-1634. 

Verhulst S, Bharadwaj H, Mehraei G, Shera CA, Shinn-Cunningham, BG. (2015). Functional modeling of the human auditory brainstem response to broadband stimulation. Journal of the Acoustical Society of America 138 (3): 1637-1659.