65 citations · 174 across the 16 of their papers we have counts for
4 papers · 1 filter
Feature-based Representation for Violin Bridge Admittances
R. Malvermi, S. Gonzalez, M. Quintavalla +4
Frequency Response Functions (FRFs) are one of the cornerstones of musical acoustic experimental research. They describe the way in which musical instruments vibrate in a wide rang…
Near field Acoustic Holography on arbitrary shapes using Convolutional Neural Network
Marco Olivieri, Mirco Pezzoli, Fabio Antonacci +1
Near-field Acoustic Holography (NAH) is a well-known problem aimed at estimating the vibrational velocity field of a structure by means of acoustic measurements. In this paper, we…
Parametric Optimization of Violin Top Plates using Machine Learning
Davide Salvi, Sebastian Gonzalez, Fabio Antonacci +1
We recently developed a neural network that receives as input the geometrical and mechanical parameters that define a violin top plate and gives as output its first ten eigenfreque…
A Data-Driven Approach to Violin Making
Sebastian Gonzalez, Davide Salvi, Daniel Baeza +2
Of all the characteristics of a violin, those that concern its shape are probably the most important ones, as the violin maker has complete control over them. Contemporary violin m…