Algorithmic Harmony Generation

Algorithmic Harmony Generation is a computational method within algorithmic composition that autonomously produces harmonic structures by applying rule-based, probabilistic, or machine-learned models to generate musically coherent accompaniment in real-time or offline contexts.

33

Publications

1.1K

Citations

79

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

79

  1. GA
    Geraínt A. Wiggins

    Goldsmiths University of London, United Kingdom

    2 publications · 119 citations

    2

    h-index

  2. RP
    Raymond Peter Whorley

    Goldsmiths University of London, United Kingdom

    2 publications · 67 citations

    2

    h-index

  3. EC
    Elaine Chew

    University of Southern California, United States

    1 publications · 17 citations

    1

    h-index

  4. QL
    Qi Liu

    University of Science and Technology of China, China

    1 publications · 76 citations

    1

    h-index

  5. MA
    Moray Allan

    Institut national de recherche en sciences et technologies du numérique, France

    1 publications · 139 citations

    1

    h-index

1–5 of 79

Venues

  1. Journal of New Music Research

    5 publications · 184 citations

    5

    h-index

  2. 3

    h-index

  3. Computer Music Journal

    3 publications · 153 citations

    3

    h-index

  4. Connection Science

    1 publications · 23 citations

    1

    h-index

  5. The Journal of the Acoustical Society of America

    JASA · 1 publications · 11 citations

    1

    h-index

1–5