Christof Weiß is working on the fundamental development of automated analysis methods for music recordings using data sets of classical music. (Image: Ingo Knopf / Klaus Tschira Stiftung)
Christof Weiß is working on the fundamental development of automated analysis methods for music recordings using data sets of classical music. (Image: Ingo Knopf / Klaus Tschira Stiftung) - A research group at the University of Würzburg develops fundamental methods for analyzing music with the help of machine learning. The project is led by Professor Christof Weiß at CAIDAS. In his role as Professor of Computer Science (Computational Humanities) at Julius-Maximilians-Universität Würzburg (JMU), Christof Weiß combines two apparently very different subject areas: Mathematics and computer science meet art and culture in his work. As part of its Emmy Noether Programme, the German Research Foundation (DFG) is now funding his work with 1.4 million euros and enabling him to set up a new research group on "Computational analysis of music audio recordings: A cross-version approach". The aim is to further develop automated analysis methods for music recordings, which could be used in computational musicology and the digital humanities in the future. Music Data is Complex.
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