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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.23982 |
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| _version_ | 1866911710231658496 |
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| author | Bae, Joonhyung Kim, Kirak Cho, Hyeyoon Lee, Sein Choi, Yoon-Seok Hur, Hyeon Lee, Gyubin Maezawa, Akira Park, Jonghwa Park, Jaebum Nam, Juhan |
| author_facet | Bae, Joonhyung Kim, Kirak Cho, Hyeyoon Lee, Sein Choi, Yoon-Seok Hur, Hyeon Lee, Gyubin Maezawa, Akira Park, Jonghwa Park, Jaebum Nam, Juhan |
| contents | Piano fingering shapes how a passage can be played, yet it is difficult to label after a performance. An annotator must decide which finger produced each note while reconciling the score, timing, video, and hand motion. We present PiAnnotate, a web-based pipeline for adding expert fingering annotations to the FurElise performance dataset. The tool brings together a piano-roll view, performance video, and a 3D MANO hand mesh so that reviewers can inspect each assignment in musical and physical context. Rather than storing only the final answer, PiAnnotate keeps paired rule-based and human-edited fingering tracks. These paired tracks make the annotation history auditable by showing where a geometric rule was sufficient, where experts intervened, and how labels changed across review passes. As a final diagnostic, we train a small Transformer probe on the paired tracks. The probe improves on the rule baseline on held-out pieces while remaining conservative about changing labels that were already correct, suggesting that the edited labels contain learnable structure rather than only isolated fixes. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_23982 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | PiAnnotate: A Web Annotation Tool for Piano Fingering, with a Diagnostic Probe Bae, Joonhyung Kim, Kirak Cho, Hyeyoon Lee, Sein Choi, Yoon-Seok Hur, Hyeon Lee, Gyubin Maezawa, Akira Park, Jonghwa Park, Jaebum Nam, Juhan Sound Piano fingering shapes how a passage can be played, yet it is difficult to label after a performance. An annotator must decide which finger produced each note while reconciling the score, timing, video, and hand motion. We present PiAnnotate, a web-based pipeline for adding expert fingering annotations to the FurElise performance dataset. The tool brings together a piano-roll view, performance video, and a 3D MANO hand mesh so that reviewers can inspect each assignment in musical and physical context. Rather than storing only the final answer, PiAnnotate keeps paired rule-based and human-edited fingering tracks. These paired tracks make the annotation history auditable by showing where a geometric rule was sufficient, where experts intervened, and how labels changed across review passes. As a final diagnostic, we train a small Transformer probe on the paired tracks. The probe improves on the rule baseline on held-out pieces while remaining conservative about changing labels that were already correct, suggesting that the edited labels contain learnable structure rather than only isolated fixes. |
| title | PiAnnotate: A Web Annotation Tool for Piano Fingering, with a Diagnostic Probe |
| topic | Sound |
| url | https://arxiv.org/abs/2605.23982 |