论文标题

一项关于音乐发电的人工智能的调查:代理,领域和观点

A Survey on Artificial Intelligence for Music Generation: Agents, Domains and Perspectives

论文作者

Hernandez-Olivan, Carlos, Hernandez-Olivan, Javier, Beltran, Jose R.

论文摘要

音乐在他的多种智能理论中是加德纳的智慧之一。人类如何看待和理解音乐,仍在研究和了解模仿这种过程的人工智能模型至关重要。人工智能的音乐发电是一个新兴领域,近年来引起了很多关注。在本文中,我们描述了人类如何创作音乐以及新的AI系统如何通过将现场和最新进步与音乐作曲技术进行比较来模仿这种过程。为了了解AI模型和算法如何生成音乐以及将来可能出现的潜在应用程序,我们探索,分析和描述了一部分音乐生成过程的代理:数据集,模型,接口,用户,用户和生成的音乐。我们提到可能从该领域中受益的可能应用程序,我们还提出了将来可以探讨的新趋势和未来的研究方向。

Music is one of the Gardner's intelligences in his theory of multiple intelligences. How humans perceive and understand music is still being studied and is crucial to develop artificial intelligence models that imitate such processes. Music generation with Artificial Intelligence is an emerging field that is gaining much attention in the recent years. In this paper, we describe how humans compose music and how new AI systems could imitate such process by comparing past and recent advances in the field with music composition techniques. To understand how AI models and algorithms generate music and the potential applications that might appear in the future, we explore, analyze and describe the agents that take part of the music generation process: the datasets, models, interfaces, the users and the generated music. We mention possible applications that might benefit from this field and we also propose new trends and future research directions that could be explored in the future.

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