Abstrakti
Piano tuning is known to be difficult because the stiffness of piano strings causes the tones produced to be inharmonic. Aural tuning is time consuming and requires the help of a professional. This motivates the question of whether this process can be automated. Attempts at automatic tuning are usually assessed by comparing the Railsback curve of the results with the curve of a professional tuner. In this paper we determine a simple and reliable rule for tuning the high tones of a piano with the help of a listening test. This rule consists of matching the two tones in an octave interval so that the first partial frequency of the upper tone becomes exactly the same as the second partial frequency of the lower tone. This rule was rated best among four tuning rules that were compared in the test. The results found are explained using a beat-based analysis, and are consistent with some previous studies. They are also tested against the existing method of using Railsback curves, and it is shown that comparison using Railsback curves is an unreliable method of assessing different tunings. The findings from this paper can be used to create a complete automatic tuner that could make the process of piano tuning quick and inexpensive.
| Alkuperäiskieli | Englanti |
|---|---|
| Artikkeli | 1983 |
| Sivumäärä | 14 |
| Julkaisu | Applied Sciences |
| Vuosikerta | 10 |
| Numero | 6 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 1 maalisk. 2020 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä |
Rahoitus
This research is part of the "Nordic Sound and Music Computing Network-NordicSMC", NordForsk project number 86892. The authors are grateful to Jamin Hu, who proposed the idea of automatic piano tuning and helped arrange the Disklavier recording session at the Helsinki Music Center, and to Joonas Tuovinen, who allowed us to use his piano recordings (piano tone set 2) and his Matlab programs.
Sormenjälki
Sukella tutkimusaiheisiin 'Automatic tuning of high piano tones'. Ne muodostavat yhdessä ainutlaatuisen sormenjäljen.Projektit
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NordicSMC: Nordic Sound and Music Computing Network
Välimäki, V. (Vastuullinen johtaja), McCrea, M. (Projektin jäsen), Mikkonen, O. (Projektin jäsen), Louise, B. (Projektin jäsen), Martinez Ornelas, A. (Projektin jäsen), Tuovinen, J. (Projektin jäsen), Sinjanakhom, T. (Projektin jäsen), Fagerström, J. (Projektin jäsen), Akov, I. (Projektin jäsen), Parkkola, K. (Projektin jäsen), Roberts, J. (Projektin jäsen), Prawda, K. (Projektin jäsen) & Lindfors, J. (Projektin jäsen)
01/01/2018 → 31/12/2023
Projekti: Other external funding: Other foreign funding
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