Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers
Sound
2021-11-16 v3 Machine Learning
Neural and Evolutionary Computing
Audio and Speech Processing
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.
Cite
@article{arxiv.2101.00169,
title = {Generative Deep Learning for Virtuosic Classical Music: Generative Adversarial Networks as Renowned Composers},
author = {Daniel Szelogowski},
journal= {arXiv preprint arXiv:2101.00169},
year = {2021}
}
Comments
13 pages, 6 figures Update: Revised format to align closer to IEEE standards