Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers
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Abstract (arXiv)
Current AI-generated music lacks fundamental principles of good compositional techniques. By narrowing down implementation issues both programmatically and musically, we can create a better understanding of what parameters are necessary for a generated composition nearly indistinguishable from that of a master composer.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 14 references that are in the map. First posted on arXiv 1 Jan 2021.
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3 of 14 references.
References · 3
- 2020Jukebox: A Generative Model for Musiccited by 535
- 2016Tutorial on Variational Autoencoderscited by 404
- 2018GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentationcited by 40
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