@InProceedings{8081530,
  author = {F. Setragno and M. Zanoni and A. Sarti and F. Antonacci},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Feature-based characterization of violin timbre},
  year = {2017},
  pages = {1853-1857},
  abstract = {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.},
  keywords = {feature selection;music;musical instruments;feature selection algorithms;contemporary violins;historical violins;violin timbre;timbrai quality;T-SNE method;Feature extraction;Instruments;Timbre;Mel frequency cepstral coefficient;Aerospace electronics;Signal processing algorithms},
  doi = {10.23919/EUSIPCO.2017.8081530},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347617.pdf},
}

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