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

• URL: http://arxiv.org/abs/2101.00169v1
• Date: Fri, 1 Jan 2021 05:40:12 GMT
• Title: Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers
• Authors: Daniel Szelogowski
• Abstract summary: Current AI-generated music lacks fundamental principles of good compositional techniques. We can create a better understanding of what parameters are necessary for a composition nearly indistinguishable from a master composition.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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