Music Informatics


The Music Informatics group is concerned with research aimed at extending the understanding and usefulness of digital music data, through the research, development and application of computational approaches and tools. This specialization of informatics, spanning fields as diverse as music, signal processing and machine learning, shows great potential for scientific, cultural and commercial profit that can benefit consumers, music scholars and creators, and support the archiving and dissemination efforts of libraries, music stores, content owners and radio stations. Our research interests include the automatic modeling of temporal dynamics in music, the creation of interactive visualizations of music and the content-based analysis of digital music collections.

The music informatics group aims to contribute to the improvement of music information retrieval methods, and members of the group output competitive research at the international level.