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.