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

1 January 2021
Daniel Szelogowski
    MGenGAN
ArXiv (abs)PDFHTML
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.

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