Sebastian Schlecht

Postdoctoral researcher

University of Erlangen-Nuremberg

Biography

Sebastian J. Schlecht is a postdoctoral researcher at the International Audio Laboratories of the Friedrich-Alexander-University Erlangen-Nuremberg, Germany. His research interests include spatial audio processing with an emphasis on artificial reverberation, localization, panning, and 6-degrees-of-freedom virtual and mixed reality applications. In particular, his research efforts have been directed towards the intersection of mathematical filter design, efficient algorithms, perceptual aspects, and sound design. Sebastian Schlecht complements his scientific work with being an avid musician, and a research and development consultant at the Fraunhofer Institute for Integrated Circuits (IIS) in Erlangen.

Interests

Virtual Room Acoustics
Physical Modeling
Virtual & Augmented Reality
Psychoacoustics

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

Experience

March 2018 – Present

Erlangen, Germany

Postdoctoral Researcher

International Audio Laboratories Erlangen

Reserach topics include:

Binaural Reproduction
6-Degrees-of-Freedom
Virtual and Augmented Reality

August 2010 – Present

Erlangen, Germany

Research Consultant

Fraunhofer Institute for Integrated Circuits

Lead developer of IIS 3D Reverb audio plugin for multichannel post-production

Selected Publications

On lossless feedback delay networks

In this contribution, it is shown that the FDN is lossless for any set of delays, if all irreducible components of the feedback matrix are diagonally similar to a unitary matrix.

Sebastian J Schlecht, Emanuël A P Habets

IEEE Trans. Signal Process., 2017

PDF DOI

Feedback delay networks: Echo density and mixing time

It is shown that the echo density of FDNs follows a polynomial function, whereby the polynomial coefficients can be derived from the lengths of the delays for which an explicit method is given. The mixing time of impulse responses can be predicted from the echo density, and conversely, a desired mixing time can be achieved by a derived mean delay length.

Sebastian J Schlecht, Emanuël A P Habets

IEEE/ACM Trans. Audio, Speech, Lang. Proc., 2017

PDF DOI

The stability of multichannel sound systems with time-varying mixing matrices

This paper proposes alternatively time-varying mixing matrices, which is an efficient algorithm corresponding to symmetric up and down frequency shifting.

Sebastian J Schlecht, Emanuël A P Habets

J. Acoust. Soc. Amer., 2016

PDF DOI