Expansion on Description-Based Design of Melodies
DOI:
https://doi.org/10.1609/aiide.v9i5.12643Keywords:
Computer Assisted CompositionAbstract
This work-in-progress paper describes attempted improvements on Pachet’s Description-Based Design (DBD), a system that uses machine learning to generate melodies. We discuss in depth both Description-Based Design and our extensions to Pachet’s original approach. We also present a user study in which users had some success in transforming melodies and describe the implications of these results for future work.
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Published
2021-06-30
How to Cite
Sarwate, A., & Fiebrink, R. (2021). Expansion on Description-Based Design of Melodies. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 9(5), 91-96. https://doi.org/10.1609/aiide.v9i5.12643
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Section
Workshop on Musical Metacreation