Associate Professor for Signal Processing

Friedrich-Alexander-Universität Erlangen-Nürnberg

Biography

Sebastian J. Schlecht is Associate Professor for Signal Processing at the Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany. This position is part of the Chair of Multimedia Communications and Signal Processing. Until 2024, he was Professor of Practice at Acoustics Lab, Aalto University, Finland. His research interests include spatial audio processing with an emphasis on artificial reverberation, synthesis, reproduction, and 6 degrees-of-freedom virtual and mixed reality applications. In particular, his research efforts have been directed toward the intersection of applied mathematics, algorithms, perception, machine learning, and sound design.

Current open and ongoing student projects can be found here. I am continuously looking for students to join my research group; if you are interested, don’t hesitate to get in touch with me via email and include your topic interest and CV. I am committed to fostering a diverse, respectful and caring lab culture and encourage all under-represented groups to apply for positions.

Interests
  • Virtual Room Acoustics
  • Physical Modeling
  • Virtual & Augmented Reality
  • Psychoacoustics
  • Model-based Deep Learning
Education
  • PhD in Acoustic Signal Processing, 2017

    University of Erlangen-Nuremberg, Germany

  • M.Sc. in Digital Music Processing, 2011

    Queen Mary, University of London, UK

  • M.Sc. in Applied Mathematics, 2010

    University of Trier, Germany

Awards

TitleOrganisationAwarded forYear
Best Paper at DAFxInternational Conference on Digital Audio Effects in Copenhagen, DenmarkDifferentiable Feedback Delay Network for Colorless Reverberation09/2023
Aalto ELEC Radical Creativity AwardAalto Universityfor carrying out several innovative and creative projects03/2023
Award for High-quality TeachingAalto UniversityELEC-E5690 Immersive Sound D09/2022
3rd Best Paper at DAFxInternational Conference on Digital Audio Effects in Vienna, AustriaPhysical Modeling Using Recurrent Neural Networks with Fast Convolutional Layers09/2022
Award for High-quality TeachingAalto UniversityELEC-E5680 Virtual Acoustics09/2021
3rd Best Paper at DAFxInternational Conference on Digital Audio Effects in Vienna, AustriaThe Role of Modal Excitation in Colorless Reverberation09/2021
Best Paper of Journal of AESJournal of the Audio Engineering SocietyDirectional Feedback Delay Network06/2020
Best Paper at WASPAAIEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, USADense Reverberation with Delay Feedback Matrices10/2019
2nd Best Paper at DAFxInternational Conference on Digital Audio Effects in Aveiro, PortugalOptimized velvet-noise decorrelator09/2018
Best Peer-Reviewed Paper at AES ARVR2018 AES International Conference on Audio for Virtual and Augmented Reality in Redmond, WA, USAAudio quality evaluation in virtual reality: Multiple stimulus ranking with behavior tracking08/2018