Department of Computing

City School of Informatics People Tillman Weyde

Short Research Bio

Tillman Weyde is a Senior Lecturer at the Department of Computing. Before that he was a researcher and coordinator of the MUSITECH project at the Research Department of Music and Media Technology at the University of Osnabrück. He holds degrees in Computer Science, Music, and Mathematics and obtained his PhD in Systematic Musicology on the topic of automatic analysis of rhythms based on knowledge and machine learning. He is an associated member of the Institute of Cognitive Science and the Research Department of Music and Media Technology of the University of Osnabrück and has given invited talks among others at the IRCAM, Paris, Technical University of Berlin and the University of Karlsruhe. He is co-author of the educational software "Computer Courses in Music Ear Training" Published by Schott Music, which received the Comenius Medal for Exemplary Educational Media in 2000 and co-editor of the Osnabrück Series on Music and Computation. Tillman was a consultant to the NEUMES project at Harvard University and he is a member of the MPEG Ad-Hoc-Group on Symbolic Music Representation (SMR), working on the integration of SMR into MPEG-4. He was the principal investigator at City in the music e-learning project i-Maestro which was supported by the European Commission. He currently works on Semantic Web representations for music, methods for automatic music analysis, audio-based similarity and recommendation and general applications of audio processing and machine learning in industry and science.

Key Publications

• Wolff D., Weyde, T. (2011). Adapting Metrics for Music Similarity Using Comparative Ratings. In: Proceedings of the 12th International Society for Music Information. Miami, Florida, USA, October 2011.
• Wissmann J., Weyde, T., Conklin, D. (2010). Representing chord sequences in OWL. In: Proceedings of the Sound and Music Computing Conference 2010. Universidat Pompeu Fabra, Barcelona, Spain, July 2010.
• Honingh, A., Weyde, T. and Conklin, D. (2009). Sequential Association Rules in Atonal Music. In: Proceedings of the Second International Conference on Mathematics and Computation in Music. Yale University, New Haven, Connecticut, USA, 19 - 22 June 2009.
• Weyde, T. (2004) Modeling Rhythmic Motif Structure with Fuzzy Logic and Machine Learning In Music Query: Methods, Models, and User Studies, vol. 13 of Computing in Musicology, CCARH and The MIT Press, Cambridge, Ma., pp. 35-50.
• Weyde, T. und Dalinghaus, K. (2003). Design and Optimization of Neuro-Fuzzy-Based Recognition of Musical Rhythm Patterns. In International Journal of Smart Engineering System Design, 5(2), pp. 67-79, April-June 2003. View an earlier version.

Office Hours for Students

My office hours for during term time are:

• Tuesdays 16:00-17:00
• Thursdays 16:00-17:00