Projects per year
The Music Informatics and Cognition Group (MusIC) is a research group led by David Meredith within the Aalborg Media Technology Section (MTA) of the Department of Architecture, Design and Media Technology (Create), Aalborg University. The group develops novel computational models and algorithms with the goal of advancing our understanding of the cognitive processes underpinning expert musical behaviour in activities such as composition, improvisation, analysis and performance. The group's research falls within the fields of computational music analysis, music cognition, mathematical music theory, music and machine learning and music information retrieval.
- Music Informatics
- Computational Music Recognition
- Computational Music Analysis
- Music Information Retrieval
- Mathematical Music theory
- Music and Machine Learning
- Music and Artificial Intelligence
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- The Technical Faculty of IT and Design - Associate Professor
- Department of Architecture, Design and Media Technology - Associate Professor
- Section for Media Technology - Campus Aalborg - Associate Professor
- The Music Informatics and Cognition Group
- AI for the People
Music, computing and health: A roadmap for the current and future roles of music technology for health care and well-being.Agres, K., Schaefer, R., Volk, A., van Hooren, S., Holzapfel, A., Dalla Bella, S., Müller, M., De Witte, M., Herremans, D., Ramirez Melendez, R., Neerincx, M., Ruiz, S., Meredith, D., Dimitriadis, T. & Magee, W., 2021, In: Music & Science. 4, p. 1 32 p.
Research output: Contribution to journal › Journal article › Research › peer-reviewOpen Access
OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery AlgorithmsSchmuck, V. & Meredith, D., 2020, Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019 Würzburg, Germany, September 16–20, 2019 Proceedings, Part II. Cellier, P. & Driessens, K. (eds.). Cham, Switzerland: Springer, Vol. 1168. p. 509-516 8 p. (Communications in Computer and Information Science, Vol. 1168).
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-reviewOpen AccessFile3 Downloads (Pure)
RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translatorsMeredith, D., 2020, Machin Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019 Würzburg, Germany, September 16–20, 2019 Proceedings, Part II. Cellier, P. & Driessens, K. (eds.). Cham, Switzerland: Springer, Vol. 1168. p. 485-493 9 p. (Communications in Computer and Information Science, Vol. 1168).
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-reviewOpen AccessFile2 Downloads (Pure)
David Meredith (Lecturer)18 Sep 2016 → 22 Sep 2016
Activity: Talks and presentations › Talks and presentations in private or public companiesFile
Gissel Velarde (Participant)7 Aug 2016 → 11 Aug 2016
Activity: Attending an event › Conference organisation or participation
Gissel Velarde (Participant)6 Aug 2016 → 7 Aug 2016
Activity: Attending an event › Organisation or participation in workshops, courses, or seminars