Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice
The quality of piano performance depends on nuanced timing, articulation, and dynamic control, but practice feedback is often summary-based and hard to act on. We introduce Profy, a weakly supervised system that learns from take-level labels derived from aggregated listener ratings (expert-labeled vs. amateur-labeled) to produce time-aligned highlights for review during piano practice. We collected synchronized 1 kHz key-motion and audio from 73 pianists and used 1,083 valid takes for modeling and evaluation. The model outputs clip-level predictions together with evidence scores on a shared resampled model time base for visualization. On 20 amateur clips from short technique studies annot...
| Authors | Kazuki Kawamura, Fujiki Nakamura, Hayato Nishioka et al. |
|---|---|
| Primary category | cs.HC |
| Published | 9 June 2026 |
| Last updated at source | 9 June 2026 |
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