Research Scientist
Psychoacoustics and Experimental Audiology

Email: felix.perfler(at)

Scientific IDs:

Academic Background

2022 - MSc (distinction) in Electrical Engineering and Audio Engineering with focus on signal and speech processing at the University of Technology Graz (TUG) and the University of Music and Performing Arts Graz (KUG).

For my master’s thesis I explored the usage of deep neural networks for the task of residual echo suppression and also implemented on of such systems.

2020 - BSc  in Electrical Engineering and Audio Engineering at TUG and KUG

Current Research

I am part of the project SONICOM and work on parametric modeling of the pinna using machine learning algorithms.