Musical Pattern Generation

Musical Pattern Generation is a computational method within music programming that systematically produces structured sequences of musical elements, such as rhythm, pitch, or harmony, by algorithmically modeling temporal and stylistic regularities inherent in music.

152

Publications

6K

Citations

307

Authors

127

Institutions

Publications per year

2017–2026

36

Authors

307

  1. DE
    Douglas Eck

    Université de Montréal, Canada

    6 publications · 660 citations

    6

    h-index

  2. DH
    Dorien Herremans

    Singapore University of Technology and Design, Singapore

    5 publications · 159 citations

    5

    h-index

  3. AE
    Arne Eigenfeldt

    Simon Fraser University, Canada

    4 publications · 85 citations

    4

    h-index

  4. CS
    Costas S. Iliopoulos

    King's College London, United Kingdom

    4 publications · 114 citations

    4

    h-index

  5. CH
    Curtis Hawthorne

    Google (United States), United States

    3 publications · 385 citations

    3

    h-index

1–5 of 307

Venues

  1. Computer Music Journal

    9 publications · 358 citations

    9

    h-index

  2. The Journal of the Abraham Lincoln Association

    9 publications · 323 citations

    9

    h-index

  3. arXiv (Cornell University)

    Repository · 5 publications · 134 citations

    5

    h-index

  4. Zenodo (CERN European Organization for Nuclear Research)

    Repository · 5 publications · 78 citations

    5

    h-index

  5. HAL (Le Centre pour la Communication Scientifique Directe)

    Repository · 4 publications · 90 citations

    4

    h-index

1–5