Music Informatics Group
The Music Informatics research group is a specialized research team within the Department of Computing.
Music Informatics includes the study of computational models of music and sound analysis and generation,and music performance.
Interests of the Music Informatics group include music information retrieval and computational musicology, statistical modelling, music knowledge representation, and music e-learning. The group is also interested in wider aspects of machine learning, sequential structure modelling and sound processing, such as industrial and scientific audio analysis, financial time series and text analysis, and the novel cross-domain application of techniques from these areas.
Main Research Activities
- Music data mining. Statistical models of music score and audio data, with the goal of genre classification, similarity, style and user modelling.
- Computational musicology. Algorithms for music segmentation, representation, hierarchical structuring, and analysis.
- Music knowledge representation. Representation of music on multiple levels, logical structures for music, standardisation activities.
- Applications. Exploration and exploitation of new technological approaches for applications such as music e-learning, musicology or music recommendation, as well as industrial and biological sound analysis.
Current
- Tillman Weyde (Senior Lecturer and Group Leader)
- Daniel Wolff (Research Student)
- Reinier de Valk (Research Student)
- Jens Wissmann (Part-Time Research Student)
Alumni
- Darrell Conklin (former Group Leader)
- Mathieu Bergeron (former Research Student)
- Ruben Hillewaere (former external Research Student)
- Edouard Gilbert (former Intern)
- Kerstin Neubarth (former Research Assistant)
- Michael Rausch (former Intern)
- Aline Honingh (former Research Fellow)
- Daniel Ishkov (former Intern)
Publications
Please follow the links to individual group members for publications.
Blog
Here is a blog where we post some of our activities
PhD Opportunities
The group welcomes applications from students who want to do research in the areas that are of interest to the academic members of the group. Those interested may initially contact the relevant member of the group or Tillman Weyde.
Further information about Research Studies within The School of Informatics can be found here