
Welcome!
In 2000, the Signal Processing and Speech Communication Laboratory (SPSC Lab) of Graz University of Technology (TU Graz) was founded as a research and education center in nonlinear signal processing and computational intelligence, algorithm engineering, as well as circuits & systems modeling and design. It covers applications in wireless communications, speech/audio communication, and telecommunications.
If you want to learn more about Signal Processing, click: What is Signal Processing?
The Research of SPSC Lab addresses fundamental and applied research problems in five scientific areas:
- Audio and Acoustics
- Intelligent Systems
- Nonlinear Signal Processing
- Speech Communication
- Wireless Communications
Profiles
Result of the Month
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling

Physics-informed neural networks (PINNs) are known to have poor training convergence if they are used to solve boundary value problems, i.e., if they should learn the solution to a partial differential equation given only initial and boundary conditions. Previous work has shown that training is more stable if the computational domain – the extent of the space and time coordinates for which the PDE should be solved – is small. As a consequence, a series of domain decomposition and collocation point sampling methods were proposed to improve training convergence.
Read the full article.Contact: Bernhard Geiger
News
29 Jul 2025 Barbara Schuppler's Survey Talk at Interspeech 2025
29 Jul 2025 Our speech research out in the media again!
21 Jul 2025 wav2scape: New Tool for Speech Analysis Now Available
04 Jul 2025 Barbara Schuppler gave a plenary talk at JSALT 2025 workshop
01 Jul 2025 ISH 2025: SPSC Presents Outer Hair Cell Model with Chaotic Dynamics
01 Jul 2025 Alumni Award for Benedikt Mayrhofer’s Master’s Thesis on Enhancing Pathological Speech
13 Jun 2025 Save the date -- Forum Acusticum 2026 in Graz
23 May 2025 Vortragsreihe Facetten der Physik
16 Apr 2025 3rd Graz-Vienna Speech Workshop
04 Jun 2024 Menschliche Gespräche mit einem Roboterkopf