Translating Paintings Into Music Using Neural Networks
Sound
2020-08-25 v1 Audio and Speech Processing
Abstract
We propose a system that learns from artistic pairings of music and corresponding album cover art. The goal is to 'translate' paintings into music and, in further stages of development, the converse. We aim to deploy this system as an artistic tool for real time 'translations' between musicians and painters. The system's outputs serve as elements to be employed in a joint live performance of music and painting, or as generative material to be used by the artists as inspiration for their improvisation.
Cite
@article{arxiv.2008.09960,
title = {Translating Paintings Into Music Using Neural Networks},
author = {Prateek Verma and Constantin Basica and Pamela Davis Kivelson},
journal= {arXiv preprint arXiv:2008.09960},
year = {2020}
}
Comments
8 pages, 3 figures