SOURCE-LINKED INTELLIGENCE
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
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-09T15:35:36.000Z
First collected: 2026-09-20T19:32:24.350Z. This is not the publication date.