BeatEdit: Symbolic Music Generation as Explicit Editing
Music creation is fundamentally a process of revision. Yet symbolic music generation remains dominated by paradigms that produce complete sequences from scratch, with limited support for selective modification. Edit-based methods have proven effective for text transformation tasks, but remain largely unexplored for symbolic music. We trace this absence to the representational level: conventional event-based music encodings lack the structural properties required by explicit music editing. In contrast, the BEAT encoding, a beat-grid-anchored representation originally designed for autoregressive generation, possesses structural properties amenable to editing. We propose BeatEdit, the first ...
| Authors | Haoyu Gu, Lekai Qian, Haowu Zhou et al. |
|---|---|
| Primary category | cs.SD |
| Published | 13 July 2026 |
| Last updated at source | 15 October 2026 |
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