Neural Network Composition

Neural Network Composition is a method in algorithmic composition that employs artificial neural networks to generate musical content by learning patterns and structures from data through hierarchical representations.

148

Publications

12.5K

Citations

513

Authors

235

Institutions

Publications per year

2017–2026

72

Authors

513

  1. YY
    Yi‐Hsuan Yang

    Academia Sinica, Taiwan

    3 publications · 84 citations

    3

    h-index

  2. MC
    Michael C. Mozer

    University of Colorado Boulder, United States

    3 publications · 341 citations

    3

    h-index

  3. KX
    Kai Xu

    National University of Defense Technology, China

    2 publications · 69 citations

    2

    h-index

  4. CZ
    Chenyang Zhu

    National University of Defense Technology, China

    2 publications · 69 citations

    2

    h-index

  5. AE
    Andrés Eduardo Coca Salazar

    Universidade de São Paulo, Brazil

    2 publications · 45 citations

    2

    h-index

1–5 of 513

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 560 citations

    14

    h-index

  2. Scientific Reports

    2 publications · 65 citations

    2

    h-index

  3. 2

    h-index

  4. 2

    h-index

  5. Journal of Applied Physics

    2 publications · 32 citations

    2

    h-index

1–5