arXiv:2606.24307v1 Announce Type: cross Abstract: Interactive music and live performance relies on real-time human expression, but modern generative music AI remains largely absent from this domain due to its prohibitive inference latency and offline rendering paradigm. To provide pioneer musicians with a novel medium for interactive composition, we should fundamentally change these static models into dynamic, playable instruments. In this paper, we propose a framework that bridges this gap. To achieve the low latency required for live interaction without sacrificing structural coherence, we f
Advances in AI model efficiency and distillation techniques are progressing to address real-time interaction, moving beyond static generation paradigms.
This development allows generative AI to move from content creation to integral, real-time interactive systems, opening new applications in creative arts and potentially other domains.
Generative music AI can now be integrated into live performance and interactive composition settings due to reduced latency, transforming it from a rendering tool to a playable instrument.
- · Musicians/Artists
- · Music Software Developers
- · AI Model Optimizers
- · Live Performance Venues
- · Traditional Music Tool Developers (if slow to adapt)
- · AI Models with High Latency
Musicians gain access to new, dynamic creative tools for real-time sound generation and manipulation.
The definition of musical instruments expands to include adaptive AI systems, blurring lines between human and algorithmic composition.
Interactive AI models become a standard feature across creative industries, impacting design, gaming, and simulation beyond music.
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Read at arXiv cs.AI