Sign inGet started
Paper · arXiv

TimeCues Studio: A Workspace for Music Annotation and Algorithm Prototyping

Multimedia applications require precise music annotation-labeled positions, segments, or loops-placed by hand or algorithmically. Machine-learning algorithms are scalable and effective but need annotated training data, scarce for many tasks. TimeCues Studio is an open-source workspace where algorithm-development teams annotate a music corpus, compare detection algorithms against those annotations, and prototype new ones. Unlike existing tools built for a single track at a time, TimeCues targets teams annotating whole collections, tightly integrated with algorithm development. Annotators place several marker types-each supporting ambiguity-aware labeling-on a grid-locked timeline that visu...

AuthorsSapir Caduri, Yoav Goldberg
Primary categorycs.SD
Published9 September 2026
Last updated at source9 September 2026
cs.SDcs.HCcs.LGcs.MM
Embed this entry
<iframe src="https://silytics.si/embed/item/ec43e4b6-291a-40c2-903e-057eb29d363b" 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 Information may be incomplete or out of date.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.