探索AI音乐中随机性如何被结构化，以平衡创意与连贯性。
The Shape of Surprise: Structured Uncertainty and Co-Creativity in AI Music Tools
- 用结构化不确定性框架约束随机生成过程
- 六款AI音乐工具展现可协同创作的共创造性设计模式
- 适合关注人机共创、即兴演奏的音乐创作者参考
随机性在计算音乐创作中扮演关键但矛盾的角色：既能激发新颖性，过度自由又可能导致不连贯。本文对当代AI音乐系统进行主题综述，分析设计师如何将随机性和不确定性融入创作实践。基于‘结构化不确定性’概念，探讨随机过程如何在音乐与交互框架内被约束。通过对六款系统——Musika（Pasini和Schlüter, 2022）、MIDI-DDSP（Wu等, 2021）、Melody RNN（Magenta项目）、RAVE（Caillon和Esling, 2021）、Wekinator（Fiebrink和Cook, 2010）和Somax 2（Borg, 2019）——的比较分析，识别出支持音乐连贯性、用户控制力与共创造性的重复设计模式。据作者所知，这是首个从结构化不确定性视角审视AI音乐中随机性的主题综述，为追求表达性、协作性或即兴互动的设计者与艺术家提供实用洞见。
原文摘要 · Abstract (English)
Randomness plays a pivotal yet paradoxical role in computational music creativity: it can spark novelty, but unchecked chance risks incoherence. This paper presents a thematic review of contemporary AI music systems, examining how designers incorporate randomness and uncertainty into creative practice. I draw on the concept of structured uncertainty to analyse how stochastic processes are constrained within musical and interactive frameworks. Through a comparative analysis of six systems - Musika (Pasini and Schlüter, 2022), MIDI-DDSP (Wu et al., 2021), Melody RNN (Magenta Project), RAVE (Caillon and Esling, 2021), Wekinator (Fiebrink and Cook, 2010), and Somax 2 (Borg, 2019) - we identify recurring design patterns that support musical coherence, user control, and co-creativity. To my knowledge, this is the first thematic review examining randomness in AI music through structured uncertainty, offering practical insights for designers and artists aiming to support expressive, collaborative, or improvisational interactions.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。