Machine learning helps with music analysis
A research group at the University of Würzburg wants to further develop fundamental methods for music analysis with the help of machine learning.
The project is led by Christof Weiss at the Center for Artificial Intelligence and Data Science (CAIDAS). In his role as Professor of Computer Science (Computational Humanities) at Julius-Maximilians-Universität Würzburg (JMU), he combines two apparently very different subject areas: Mathematics and computer science meet art and culture.
As part of its Emmy Noether Program, the German Research Foundation (DFG) is now funding his work with 1.4 million euros. This will enable him to set up a new research group on computer-based analysis of music recordings. The aim is to fundamentally develop automated analysis methods for music recordings, which could be used in musicology and the computational humanities in the future.
