Machine Learning, AI, Sound Signal Analyses, Music Instrument Recognition

University studies

I studied computer science and musicology at the Julius-Maximilians-Universit├Ąt of W├╝rzburg. I was majoring in theoretical computer science. The classification of problems into complexity classes was one of the most interesting topics of my studies.

In my Studienarbeit – the former bachelor’s thesis – I developed an ear training program for special intervals that arise with other tunings. And during my diploma thesis, I used the logical programming language Prolog to analyze Bach chorales (in the MusicXML format) for chords, keys and Co. .

Doctorate

In my doctoral thesis at the international Audio Laboratories Erlangen (a joint institution of the Friedrich-Alexander University Erlangen-Nuremberg and the Fraunhofer IIS), I worked on musical instrument recognition in audio signals conducted research on the optimization of artificial neural networks.

recent research projects

I have been leading the Artificial Intelligence in Culture and Arts (AICA) group at the University of Music and Performing Arts Munich (HMTM) since April 2023, where I am additionally a lecturer for my course application-oriented programming at the chair: Master’s program in Digital Communication.