English

Semi-Automatic Flute Robot and Its Acoustic Sensing

Human-Computer Interaction 2026-03-17 v1 Robotics Sound

Abstract

Flute performance requires mastery of complex fingering combinations and register-dependent embouchure control, particularly jet offset adjustment for low-register production. Existing haptic and semi-automated systems do not address both aspects simultaneously through mechanical actuation. To our knowledge, no prior system fully automates fingering while mechanically assisting low-register tone production without requiring embouchure control. We developed a semi-automatic flute robot with an automatic fingering mechanism: fourteen servo motors actuate all keys via wire-based and rack-and-pinion drives in response to MIDI input, enabling performers to produce complete musical pieces through airflow alone. A jet offset assist mechanism rotates the head joint by a calibrated 2222^\circ during low-register passages, shifting the jet offset toward a low-register configuration without modifying the instrument or embouchure. Fundamental frequency estimation confirmed correct pitch production across the chromatic range (C4--C7) and during musical performance. All key and lever movements were completed within 77.50~ms, corresponding to tempo capacity exceeding standard requirements. Harmonic analysis (ΔSPL=SPL2SPL3\Delta\mathrm{SPL} = \mathrm{SPL}_2 - \mathrm{SPL}_3) showed a consistent increase in Δ\DeltaSPL for all low-register notes when activated, consistent with the intended jet offset shift. Head joint rotation completed within 40.00~ms. These results demonstrate mechanical feasibility of integrating automated fingering and register-dependent jet offset assistance under controlled conditions.

Cite

@article{arxiv.2603.14180,
  title  = {Semi-Automatic Flute Robot and Its Acoustic Sensing},
  author = {Hikari Kuriyama and Hiroaki Sonoda and Kouki Tomiyoshi and Gou Koutaki},
  journal= {arXiv preprint arXiv:2603.14180},
  year   = {2026}
}

Comments

This paper was submitted to a journal and received thorough reviews with high marks from the experts. Despite addressing three rounds of major revisions, it was ultimately rejected due to an unreasonable reviewer. We are uploading it here as a preprint

R2 v1 2026-07-01T11:20:26.822Z