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.

Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification

Cosi, Piero;De Poli, Giovanni
;
1994

Abstract

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.
1994
STAMPA
Inglese
23
1
71
98
28
Swets & Zeitlinger BV:Heereweg 347B, PO Box 825, 2160 SL Lisse Netherlands:011 31 252 435111, 011 31 252 435106, EMAIL: [email protected], INTERNET: http://www.swets.nl/sps/home.html, Fax: 011 31 252 415888
Internazionale
anonymous
Computer Science & Engineering
open
Cosi, Piero; De Poli, Giovanni; Lauzzana, Giampaolo
01 CONTRIBUTO IN RIVISTA::01.01 - Articolo in rivista
info:eu-repo/semantics/article
3
262
File in questo prodotto:
File Dimensione Formato  
Cosi-DePoli-Lauzzana-JNMR93.pdf

accesso aperto

Tipologia: Preprint (AM - Author's Manuscript - submitted)
Licenza: Creative commons
Dimensione 52.07 kB
Formato Adobe PDF
52.07 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/107299
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 50
  • ???jsp.display-item.citation.isi??? 31
  • OpenAlex 61
social impact