SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordings
Orchestral separation recovers instrument sections from mixtures in which shared pitches, harmonics, and timbres obscure source identity. An aligned score provides instrument labels, note pitches, and activity times. A score-informed approach appends piano rolls to audio features before mask prediction. We introduce SCISSOR (Score-Conditioned Instrument Source Separation for Orchestral Recordings), which uses the score to form a frame-wise query for each source. Each query matches a shared audio representation, and a softmax over instrument and background slots jointly assigns overlapping time-frequency evidence. The queries retain instrument identity even when notes are missing from the ...
| Authors | Yiheng Lu, Hao-Wen Dong |
|---|---|
| Primary category | cs.SD |
| Published | 27 September 2026 |
| Last updated at source | 27 September 2026 |
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