TSExplorer: An interactive data annotation and exploration tool for time-series data

Abstract:We present TSExplorer, a cross-platform tool for interactive annotation and exploration of time-series data. The tool enables users to inspect high-dimensional datasets through multiple complementary 2D visualizations derived from high-dimensional feature representations. TSExplorer is designed as a general-purpose research tool supporting a wide range of workflows, including exploratory data analysis, annotation of unlabeled or partially-labeled datasets, comparison of feature representations, and post-hoc inspection and refinement of existing labels with interactive visual feedback.

Accepted for publication in Proc. Interspeech 2026 (Sydney, Australia) in the Show & Tell track

Human-Computer Interaction (cs.HC); Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Software Engineering (cs.SE)

arXiv:2608.30514 [cs.HC]

(or arXiv:2608.30514v1 [cs.HC] for this version)

https://doi.org/10.48550/arXiv.2608.30514 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

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