Máté Tóth is a Mechanical Engineering master student at Graz University of Technology in Austria with special focus on Business Economics and Automotive Engineering.

He currently works on his master thesis at the Institute of Automotive Engineering. The thesis focuses on low-frequency creep groan noise and its psychoacoustic characteristics, especially its annoyance level for a human vehicle driver. Machine learning and deep learning models are used to get a deeper understanding about the effect of the psychoacoustic parameters on the annoyance level.