Algorithmic Melody Generation

Algorithmic Melody Generation is a computational method within the field of algorithmic composition that systematically produces melodic sequences through formalized rules, procedural techniques, or machine learning models, distinguishing it from free improvisation or traditional human-centric composition by its reliance on algorithmic processes to generate musically coherent pitch and rhythm structures.

66

Publications

2.5K

Citations

181

Authors

102

Institutions

Publications per year

2017–2026

19

Authors

181

  1. ER
    Eduardo Reck Miranda

    University of Plymouth, United Kingdom

    3 publications · 81 citations

    3

    h-index

  2. AO
    Alfonso Ortega

    Universidad Autónoma de Madrid, Spain

    3 publications · 113 citations

    3

    h-index

  3. FT
    Francesca Tria

    Sapienza University of Rome, Italy

    2 publications · 63 citations

    2

    h-index

  4. JS
    Jason Sakellariou

    Sapienza University of Rome, Italy

    2 publications · 63 citations

    2

    h-index

  5. GA
    Geraínt A. Wiggins

    Goldsmiths University of London, United Kingdom

    2 publications · 123 citations

    2

    h-index

1–5 of 181

Venues

  1. 4

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  2. arXiv (Cornell University)

    Repository · 2 publications · 31 citations

    2

    h-index

  3. Neural Computing and Applications

    2 publications · 75 citations

    2

    h-index

  4. Computer Music Journal

    2 publications · 72 citations

    2

    h-index

  5. International Journal of Software Innovation

    IJSI · 1 publications · 13 citations

    1

    h-index

1–5