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

Abstract

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.

13 pages, 6 figures Update: Revised format to align closer to IEEE standards

References in corpus (2)

• GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation
• Jukebox: A Generative Model for Music