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Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification (Articolo in rivista)

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Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification (Articolo in rivista) (literal)

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Piero Cosi, Giovanni De Poli, Giampaolo Lauzzana (1994)
Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification
in Journal of new music research; Taylor & Francis Group, London (Regno Unito); Swets & Zeitlinger, Lisse (Paesi Bassi)
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ISI Web of Knowledge http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=P2O6e@mb3AdPd76BhDC&page=1&doc=1 AUDITORY MODELING AND SELF-ORGANIZING NEURAL NETWORKS FOR TIMBRE CLASSIFICATION Author(s): COSI, P (COSI, P); DEPOLI, G (DEPOLI, G); LAUZZANA, G (LAUZZANA, G) Source: JOURNAL OF NEW MUSIC RESEARCH Volume: 23 Issue: 1 Pages: 71-98 DOI: 10.1080/09298219408570648 Published: MAR 1994 Times Cited: 28 (from Web of Science) Cited References: 29 [ view related records ] Citation MapCitation Map Accession Number: WOS:A1994NY07500004 Document Type: Article Language: English KeyWords Plus: WORD RECOGNITION Addresses: [ 1 ] UNIV PADUA,DEPT ELECTR INFORMAT,I-35100 PADUA,ITALY Publisher: SWETS ZEITLINGER PUBLISHERS, P O BOX 825, 2160 SZ LISSE, NETHERLANDS Web of Science Categories: Computer Science, Interdisciplinary Applications; Music Research Areas: Computer Science; Music IDS Number: NY075 ISSN: 0929-8215 ISSN 0929-8215 (Print), 1744-5027 (Online) Current Abstracts; SCOPUS; International Index to Music Periodicals; OCLC; The Music Index; R I L M Abstracts of Music Literature (Repertoire International de Litterature Musicale); SCOPUS; Thomson Reuters' Social Sciences Citation Index and Arts & Humanities Citation Index. (literal)

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Cosi P. Centro di Studio per le Ricerche di Fonetica, C.N.R., P.zza Salvemini 13, Padova, 35131, Italy (now ISTC CNR - UOS Padova) De Poli G., Lauzzana G. Università di Padova, Dipartimento di Elettronica ed Informatica, Via Gradenigo 6a, Padova, 35100, Italy (literal)

Titolo

Auditory Modelling and Self-Organizing Neural Networks for Timbre Classification (literal)

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. (literal)

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