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Designing live human-AI partnerships in musical improvisation (GenAICHI 2024)

Overview of composition and improvisation system

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Recent progress in generative models for music has highlighted the need for interactive, controllable systems that service the goals of musicians. In this paper, we introduce a system that integrates a compositional assistant and live improvisational partner directly into the modern music producer's toolkit--the digital audio workstation. Our system design is guided by 1) integration with modern music production software, 2) non-linear songwriting workflows, and 3) enabling generative AI to support live improvisation tasks. We find that anticipatory transformer models are well suited for these goals, and present a method for adapting an anticipatory model for live improvisation. We call on future work to further explore human-AI co-performance by designing systems to be accessible and integrated into the workflows of domain experts.