论文标题
使用神经网络将绘画转化为音乐
Translating Paintings Into Music Using Neural Networks
论文作者
论文摘要
我们提出了一个系统，该系统可以从音乐和相应的专辑封面艺术中学习。目的是将绘画“转化为音乐，并在进一步的发展阶段进行交谈。我们的目标是将该系统部署为音乐家和画家之间实时“翻译”的艺术工具。该系统的输出是在音乐和绘画的共同实时性能中使用的元素，或者是艺术家将其作为即兴创作的灵感来使用的生成材料。
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.
