AI音乐伙伴让人类与机器实时共创，自由即兴演奏。
Musical Agent Systems: MACAT and MACataRT
- 用实时合成与自我监听，让AI主导音乐表演。
- 支持人机协作即兴，通过音频拼贴与序列学习灵活响应。
- 小数据训练保障艺术真实，适合音乐创作者和实验演出者。
本研究探索了音乐代理系统的发展与应用，提出两种基于人机协同生成式AI的音乐创作系统——MACAT与MACataRT，旨在支持音乐表演与即兴创作中的共同创造。MACAT专为代理主导的现场表演设计，采用实时合成与自听机制自主调控输出；MACataRT则通过音频拼贴与基于序列的学习提供灵活的协作即兴环境。两系统均强调在个性化、小规模数据集上训练，以确保伦理透明性并尊重艺术完整性。研究表明，交互式、以艺术家为中心的生成式AI能拓展实时表演与即兴创作中的创造力，助力音乐人探索新型艺术表达形式。
原文摘要 · Abstract (English)
Our research explores the development and application of musical agents, human-in-the-loop generative AI systems designed to support music performance and improvisation within co-creative spaces. We introduce MACAT and MACataRT, two distinct musical agent systems crafted to enhance interactive music-making between human musicians and AI. MACAT is optimized for agent-led performance, employing real-time synthesis and self-listening to shape its output autonomously, while MACataRT provides a flexible environment for collaborative improvisation through audio mosaicing and sequence-based learning. Both systems emphasize training on personalized, small datasets, fostering ethical and transparent AI engagement that respects artistic integrity. This research highlights how interactive, artist-centred generative AI can expand creative possibilities, empowering musicians to explore new forms of artistic expression in real-time, performance-driven and music improvisation contexts.
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