Projects per year
Organization profile
Organisation profile
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.
Keywords
- Music
- 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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Profiles
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David Meredith
- 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
Person: VIP
Projects
- 1 Finished
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Lrn2Cre8: Learning to Create
EU Seventh Framework Programme (FP7)
01/10/2013 → 30/09/2016
Project: Research
Research output
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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-review
Open Access -
OPTISIA: An Evolutionary Approach to Parameter Optimisation in a Family of Point-Set Pattern-Discovery Algorithms
Schmuck, 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-review
Open AccessFile3 Downloads (Pure) -
RECURSIA-RRT: Recursive translatable point-set pattern discovery with removal of redundant translators
Meredith, 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-review
Open AccessFile2 Downloads (Pure)
Activities
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Geometric, compression-based pattern discovery in music
David Meredith (Lecturer)
18 Sep 2016 → 22 Sep 2016Activity: Talks and presentations › Talks and presentations in private or public companies
File -
17th International Society for Music Information Retrieval Conference
Gissel Velarde (Participant)
7 Aug 2016 → 11 Aug 2016Activity: Attending an event › Conference organisation or participation
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HAMR
Gissel Velarde (Participant)
6 Aug 2016 → 7 Aug 2016Activity: Attending an event › Organisation or participation in workshops, courses, or seminars
Press / Media
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Forskning i musiktemaer
Olivier Lartillot, David Meredith, Brian Bemman & Gissel Velarde
21/12/2014
1 item of Media coverage
Press/Media: Press / Media