mlsanityData to 7 Oct 2026

Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers

arXiv 2101.00169 ↗First posted 1 Jan 2021cs.SD cs.LG cs.NEcited by 0

Not on the map. Why?

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.

Builds on

3 of 14 references.

References · 3

  1. 2020Jukebox: A Generative Model for Musiccited by 535
  2. 2016Tutorial on Variational Autoencoderscited by 404
  3. 2018GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentationcited by 40

Built on by

Not cited yet.