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Dendrochronological Dating and Provenancing of String Instruments
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A data-driven approach to violin making.

Sebastian Gonzalez1, Davide Salvi2, Daniel Baeza3

  • 1Musical Acoustics Lab at the Violin Museum of Cremona, DEIB-Politecnico di Milano, Cremona Campus, Cremona, Italy. tsuresuregusa@gmail.com.

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Summary
This summary is machine-generated.

Violin makers can now predict modal frequencies using geometric data and artificial intelligence. This study offers a new predictive tool for plate tuning, integrating material and shape parameters for improved violin construction.

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Area of Science:

  • Acoustics
  • Musical Instrument Design
  • Computational Physics

Background:

  • Violin making relies heavily on tradition, with limited scientific understanding of shape-vibration relationships.
  • Geometric parameters are crucial for violin acoustics, yet their precise influence is not fully understood.
  • A scientific approach to violin making is needed to complement traditional methods.

Purpose of the Study:

  • To investigate the relationship between geometric parameters and modal frequencies of violin tops.
  • To apply statistical learning and artificial intelligence to predict modal frequencies in violin making.
  • To develop a predictive tool for plate tuning that incorporates material and geometric data.

Main Methods:

  • Utilized standard statistical learning tools to analyze modal frequencies.
  • Employed artificial intelligence techniques to model the relationship between shape and acoustics.
  • Investigated the impact of plate thickness variations (plate tuning) on modal frequencies.

Main Results:

  • Modal frequencies of violin tops can be accurately predicted from geometric parameters.
  • Artificial intelligence demonstrates successful application in traditional violin making.
  • The dependency of modal frequencies on plate thickness is complex and has been analyzed.

Conclusions:

  • Geometric parameters are significant predictors of violin top modal frequencies.
  • AI offers a powerful approach to enhance traditional violin making practices.
  • A novel predictive tool for plate tuning has been developed, considering material and geometric factors.