PhD Student
Hearing Cluster
Binaural Audio and Auditory Modelling
Machine Learning
Tel. +43 1 51581-2519
Email: felix.perfler(at)oeaw.ac.at
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.
Projects
Publications
Publications
- Perfler, F.; Pausch, F.; Pollack, K.; Holighaus, N.; Majdak, P. (2025) Parametric model of the human pinna based on Bézier curves and concave deformations. Computers in Biology and Medicine, Bd. 188, S. 109817.
- Huang, Y. (online: 2025) F0 and Voice Quality of Coarticulated Mandarin Tones. Language and Speech.
- Haider, D.; Perfler, F.; Lostanlen, V.; Ehler, M.; Balazs, P. (2024) Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement., Proceedings of the Interspeech 2024 (Interspeech 2024); Kos, S. 5013-5017.
- Balazs, P.; Haider, D.; Lostanlen, V.; Perfler, F. (2024) Trainable signal encoders that are robust against noise., Proceedings of the Internoise 2024 (Internoise 2024); Nantes, F.
- Pausch, F.; Perfler, F.; Holighaus, N.; Majdak, P. (2023) Comparison of deep-neural-network architectures for the prediction of head-related transfer functions using a parametric pinna model., Proceedings of the Forum Acusticum 2023 (Forum Acusticum 2023); Turin.
- Perfler, F.; Majdak, P.; Pausch, F.; Pollack, K. (2023) Concepts for the evaluation of a parametric pinna model., Proceedings of the Forum Acusticum 2023 (Forum Acusticum 2023); Turin.