Releases·Tool Release
TimeCues Studio: An Open-Source Workspace for Team Music Annotation and Algorithm Prototyping
A paper introduces TimeCues Studio, an open-source workspace where teams annotate music corpora and benchmark detection algorithms against those annotations. Unlike existing single-track annotation tools, it targets whole collections and integrates annotation with algorithm prototyping, addressing the scarcity of annotated training data for music ML tasks.
0 engagement1 sourceWed, Sep 9, 2026, 03:35 PM
AI Overview
- TimeCues Studio, released on arXiv (2026-09-09), is an MIT-licensed, open-source workspace for annotating whole music collections and prototyping detection algorithms.
- The tool supports ambiguity-aware marker labeling on a grid-locked timeline visualizing music features including separated audio stems.
- It bundles an algorithm-comparison engine with baselines, a Python sandbox for prototyping models, and an ambiguity-aware evaluator.
- TimeCues deploys via a single Docker Compose command and also suits solo annotators on music-sync projects.
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