The Music Informatics and Cognition Group

  • Rendsburggade 14

    9000 Aalborg

    Denmark

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

Fingerprint The fingerprint consists of concepts related to the research profile of the unit and associated persons. It is updated automatically, when new content is added.

    • Network Dive into details by clicking on the dots.

    Profiles

    Photo of David Meredith

    David Meredith

    Person: VIP

    19932020

    Projects

    Lrn2Cre8: Learning to Create

    Meredith, D.

    EU Seventh Framework Programme (FP7)

    01/10/2013 → 30/09/2016

    Project: Research

    • Research Output

    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

    • 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

    • Backtracking search heuristics for solving the all-partition array problem

    Bemman, B. & Meredith, D., 2019, International Society for Music Information Retrieval Conference. International Society for Music Information Retrieval, p. 391-397 7 p. 46

    Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

    Open Access
    File

    Activities

    • 3 Organisation or participation in workshops, courses, or seminars
    • 2 Conference presentations
    • 1 Conference organisation or participation
    • 1 Talks and presentations in private or public companies

    Geometric, compression-based pattern discovery in music

    David Meredith (Lecturer)

    18 Sep 2016 → 22 Sep 2016

    Activity: 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 2016

    Activity: Attending an event › Conference organisation or participation

    HAMR

    Gissel Velarde (Participant)

    6 Aug 2016 → 7 Aug 2016

    Activity: Attending an event › Organisation or participation in workshops, courses, or seminars

    Press / Media

    Forskning i musiktemaer

    Olivier Lartillot, David Meredith, Brian Bemman & Gissel Velarde

    21/12/2014

    1 item of Media coverage

    Press/Media: Press / Media