Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic methods and recently, with Deep Learning models that are being used in other fields such as Computer Vision. In this paper we want to put into context the existing relationships between AI-based music composition models and human musical composition and creativity processes. We give an overview of the recent Deep Learning models for music composition and we compare these models to the music composition process from a theoretical point of view. We have tried to answer some of the most relevant open questions for this task by analyzing the ability of current Deep Learning models to generate music with creativity or the similarity between AI and human composition processes, among others.
翻译:创造复杂的艺术作品,如音乐创作,需要展现真正的创造力,这取决于与音乐语言等级有关的各种因素。音乐创作面临着演算方法,最近还面临着在计算机视野等其他领域使用的深学习模型。在本文中,我们希望将基于AI的音乐创作模型与人类音乐创作和创作过程之间的现有关系放在一起。我们概述了最近的音乐创作深学习模型,并从理论角度将这些模型与音乐创作过程进行比较。我们试图通过分析当前深学习模型创造具有创造力的音乐的能力,以及AI与人类创作过程之间的相似性等等,来回答与这项任务有关的一些最相关的开放问题。