Constantin Jehn

My research is focused on the question how we can improve the listening experience of hearing-impaired individuals in cocktail party environments. To pave the way towards tomorrow’s hearing technology, I study how we can use neural data to enhance voices that users of hearing aids and cochlear implants want to hear! 
Outside of uni, I am a hobby guitarist and a passionate cook.

Current research questions:

• What are the best models to decode selective auditory attention in Cochlea-Implant users?
• How is selective attention impacted by hearing impairment and hearing assistive devices?
• How can we build real-time systems to enhance target voices based on EEG?

• Jehn, Constantin, et al. “CNNs improve decoding of selective attention to speech in cochlear implant users.” Journal of Neural Engineering 22.3 (2025): 036034. https://iopscience.iop.org/article/10.1088/1741-2552/addb7b/meta
• Jehn, Constantin, et al. “Attention Decoding at the Cocktail Party: Preserved in Hearing Aid Users, Reduced in Cochlear Implant Users.” bioRxiv (2025): 2025-12. https://www.biorxiv.org/content/10.64898/2025.12.22.695344v1.abstract
• Jehn, Constantin, Johanna P. Müller, and Bernhard Kainz. “Learnable Slice-to-volume Reconstruction for Motion Compensation in Fetal Magnetic Resonance Imaging.” BVM Workshop. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. https://link.springer.com/chapter/10.1007/978-3-658-41657-7_10

• Thornton, Mike, et al. “Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge.” 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, 2024. https://ieeexplore.ieee.org/abstract/document/10626244
• Riegel, Jasmin, et al. “Talking avatars can differentially modulate cortical speech tracking in the high and in the low delta band.” bioRxiv (2026): 2026-01. https://www.biorxiv.org/content/10.64898/2026.01.07.695461v1.abstract