The MTG’s Computational Musicology Special Interest Group (SIG) brings together researchers and students exploring computational approaches to (ethno-)musicology, spanning topics such as symbolic and audio analysis, and music understanding. As part of its activities, the group organizes a Seminar Series on Computational Musicology and Music Understanding, offering a space for discussion and collaboration among researchers working at the intersection of musicology, music information retrieval, and artificial intelligence. The series provides a forum for interdisciplinary exchange on computational approaches to music analysis. All sessions are open to the public and feature invited speakers from leading research institutions.

Upcoming seminars

7 November 2025 — Mark Gotham (King’s College London)

28 November 2025 — Christof Weiß (Universität Würzburg)

5 December 2025 — Peter van Kranenburg (Utrecht University)

23 January 2026 — Lara Pearson (University of Cologne) & Thomas Nuttall (Universitat Pompeu Fabra)

6 February 2026 — Jan Hajič (Charles University)

13 February 2026 — Ken Déguernel (CNRS)

Previous seminars

Watch the videos of previous seminars on the YouTube channel: Computational Musicology SIG Playlist

More information

Full programme, abstracts, and access details are available on the SIG website: https://mtg.github.io/computational-musicology/

Stay informed

Subscribe to our dedicated mailing list to receive updates about upcoming public sessions: https://groups.google.com/u/3/a/llista.upf.edu/g/mtg-sig-compmusic/about

Activity in the frame of:

Cátedra UPF-BMAT en Inteligencia Artificial y Música (TSI-100929-2023-1). Project funded by Secretaría de Estado de Digitalización e Inteligencia Artificial, the European Union-Next Generation EU, and by BMAT Music Innovators, the Music Operating System