Feature-based characterization of violin timbre. Setragno, F., Zanoni, M., Sarti, A., & Antonacci, F. In 2017 25th European Signal Processing Conference (EUSIPCO), pages 1853-1857, Aug, 2017.
Feature-based characterization of violin timbre [pdf]Paper  doi  abstract   bibtex   
Timbrai quality of historical violins has been discussed for years. In this paper, we show that it is possible to characterize it from an objective, low-level features perspective. Feature selection algorithms are used to select the features that most characterize historical and contemporary violins. The feature representation of violins is then reduced by means of the T-SNE method. In the low-dimensional space which is obtained, historical violins tend to group together.

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