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Profy system visualizes piano skills to aid practice

Researchers have developed Profy, a weakly supervised system designed to aid piano practice by providing interpretable visualizations of motor skills. The system learns from aggregated listener ratings to identify time-aligned passages that differentiate expert and amateur performances. Profy outputs clip-level predictions with evidence scores, enabling learners to focus on specific sections for review and replay, rather than relying on a single global performance score. AI

IMPACT Provides a novel approach to skill visualization in practice, potentially improving learning outcomes for musicians.

RANK_REASON The cluster contains a research paper detailing a new system for a specific application. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Kazuki Kawamura, Fujiki Nakamura, Hayato Nishioka, Momoko Shioki, Shinichi Furuya, Jun Rekimoto ·

    Profy: Interpretable Visualization of Expertise-Dependent Motor Skills Toward Supporting Piano Practice

    arXiv:2606.10627v1 Announce Type: cross Abstract: 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-l…