A timbre classification system based on auditory processing and Kohonen self organizing neural networks is described. Preliminary results are given on a simple classification experiment involving 12 instruments in both clean and degraded conditions.
Publication type:
Articolo
Publisher:
Swets & Zeitlinger, Lisse , Paesi Bassi
Source:
Journal of new music research 23 (1994): 71–98. doi:10.1080/09298219408570648
info:cnr-pdr/source/autori:Piero Cosi, Giovanni De Poli, Giampaolo Lauzzana/titolo:Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification/doi:10.1080/09298219408570648/rivista:Journal of new music research/anno:1994/pagina_da:71
Date:
1994
Resource Identifier:
http://www.cnr.it/prodotto/i/209931
https://dx.doi.org/10.1080/09298219408570648
info:doi:10.1080/09298219408570648
http://www.tandfonline.com/doi/abs/10.1080/09298219408570648#.UYovdEqnDtp
Language:
Eng
ISTC Author:
Real name: