Music is a powerful medium for altering the emotional state of the listener. In recent years, with significant advancement in computing capabilities, artificial intelligence-based (AI-based) approaches have become popular for creating affective music generation (AMG) systems that are empowered with the ability to generate affective music. Entertainment, healthcare, and sensor-integrated interactive system design are a few of the areas in which AI-based affective music generation (AI-AMG) systems may have a significant impact. Given the surge of interest in this topic, this article aims to provide a comprehensive review of AI-AMG systems. The main building blocks of an AI-AMG system are discussed, and existing systems are formally categorized based on the core algorithm used for music generation. In addition, this article discusses the main musical features employed to compose affective music, along with the respective AI-based approaches used for tailoring them. Lastly, the main challenges and open questions in this field, as well as their potential solutions, are presented to guide future research. We hope that this review will be useful for readers seeking to understand the state-of-the-art in AI-AMG systems, and gain an overview of the methods used for developing them, thereby helping them explore this field in the future.
翻译:近些年来,随着计算机能力的重大进步,人工智能型(AI-AMG)方法在创建具有影响性音乐生成能力并具有产生影响性音乐能力的感动音乐生成系统(AMG)方面变得十分流行。娱乐、保健和感应综合互动系统设计是AI-情感音乐生成系统(AI-AMG)可能产生重大影响的几个领域。鉴于对这个专题的兴趣激增,本篇文章旨在全面审查AI-AMG系统。讨论AI-AMG系统的主要组成部分,并根据用于音乐生成的核心算法对现有系统进行正式分类。此外,本文章讨论了用于制作影响性音乐的主要音乐特征,以及相应的AI-MG用于调整这些功能的方法。最后,介绍了该领域的主要挑战和开放问题及其潜在解决办法,以指导未来的研究。我们希望这一审查将有助于读者了解AI-AMG系统的现状,并正式根据用于音乐生成的核心算法对现有的系统进行分类。此外,本文章讨论了用于制作影响性音乐生成的主要音乐特征,以及相应的AI-AMG系统所使用的基于AI-AMG方法。