Sign inGet started
Paper · arXiv

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 ...

AuthorsYiheng Lu, Hao-Wen Dong
Primary categorycs.SD
Published27 September 2026
Last updated at source27 September 2026
cs.SDcs.AIeess.AS
Embed this entry
<iframe src="https://silytics.si/embed/item/9b377b55-f2df-4add-98e1-64d8f785466d" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.