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DARC: Drum accompaniment generation with fine-grained rhythm control

About

In music creation, rapid prototyping is essential for exploring and refining ideas, yet existing generative tools often fall short when users require both structural control and stylistic flexibility. Prior approaches in stem-to-stem generation can condition on other musical stems but offer limited control over rhythm, and timbre-transfer methods allow users to specify specific rhythms, but cannot condition on musical context. We introduce DARC, a generative drum accompaniment model that conditions both on musical context from other stems and explicit rhythm prompts such as beatboxing or tapping tracks. Using parameter-efficient fine-tuning, we augment STAGE, a state-of-the-art drum stem generator, with fine-grained rhythm control while maintaining musical context awareness.

Trey Brosnan• 2026

Related benchmarks

TaskDatasetResultRank
Musical Coherence EvaluationMUSDB18 (50 randomly selected tracks)
COCOLA Score53.5908
3
Rhythm prompt adherenceAVP
Onset F118.8
3
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