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Computer Models of Musical CreativityDecember 2005
Publisher:
  • The MIT Press
ISBN:978-0-262-03338-1
Published:01 December 2005
Reflects downloads up to 02 Mar 2025Bibliometrics
Abstract

No abstract available.

Cited By

  1. Farina M, Lavazza A, Sartori G and Pedrycz W (2024). Machine learning in human creativity: status and perspectives, AI & Society, 39:6, (3017-3029), Online publication date: 1-Dec-2024.
  2. Machado P, Martins T, Correia J, Santo L, Lourenço N, Cunha J, Rebelo S, Martins P and Bicker J From pixels to metal Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, (7717-7725)
  3. Yin Z, Reuben F, Stepney S and Collins T (2023). Deep learning’s shallow gains: a comparative evaluation of algorithms for automatic music generation, Machine Language, 112:5, (1785-1822), Online publication date: 1-May-2023.
  4. Yin Z, Reuben F, Stepney S and Collins T (2022). Measuring When a Music Generation Algorithm Copies Too Much: The Originality Report, Cardinality Score, and Symbolic Fingerprinting by Geometric Hashing, SN Computer Science, 3:5, Online publication date: 4-Aug-2022.
  5. ACM
    Schedl M, Yang Y and Herrera-Boyer P (2016). Introduction to Intelligent Music Systems and Applications, ACM Transactions on Intelligent Systems and Technology, 8:2, (1-8), Online publication date: 18-Jan-2017.
  6. ACM
    Pachet F (2016). A Joyful Ode to Automatic Orchestration, ACM Transactions on Intelligent Systems and Technology, 8:2, (1-13), Online publication date: 18-Jan-2017.
  7. ACM
    Morreale F and De Angeli A (2016). Collaborating with an Autonomous Agent to Generate Affective Music, Computers in Entertainment, 14:3, (1-21), Online publication date: 31-Dec-2016.
  8. ACM
    Agres K, Forth J and Wiggins G (2016). Evaluation of Musical Creativity and Musical Metacreation Systems, Computers in Entertainment, 14:3, (1-33), Online publication date: 31-Dec-2016.
  9. ACM
    Eigenfeldt A and Pasquier P Evolving structures for electronic dance music Proceedings of the 15th annual conference on Genetic and evolutionary computation, (319-326)
  10. ACM
    Cope D (2013). The well-programmed clavier, XRDS: Crossroads, The ACM Magazine for Students, 19:4, (16-20), Online publication date: 1-Jun-2013.
  11. Tojo S, Hirata K and Hamanaka M (2013). Computational Reconstruction of Cognitive Music Theory, New Generation Computing, 31:2, (89-113), Online publication date: 1-Jan-2013.
  12. ACM
    Kuznetsov A and Pyshkin E Function-based and circuit-based symbolic music representation, or back to Beethoven Proceedings of the 2012 Joint International Conference on Human-Centered Computer Environments, (171-177)
  13. ACM
    Bringsjord S, Kuebler C, Taylor J, Milsap G, Austin S, Braasch J, Oliveros P, Van Nort D, Rosenkrantz A and Hayden K Creativity and conducting Proceedings of the 8th ACM conference on Creativity and cognition, (319-320)
  14. ACM
    Roma G and Herrera P Graph grammar representation for collaborative sample-based music creation Proceedings of the 5th Audio Mostly Conference: A Conference on Interaction with Sound, (1-8)
  15. Delgado M, Fajardo W and Molina-Solana M (2009). Inmamusys, Expert Systems with Applications: An International Journal, 36:3, (4574-4580), Online publication date: 1-Apr-2009.
Contributors
  • University of California, Santa Cruz
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