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Convention Paper

A Sound-Retrieval Index Based on Two-Dimensional Similarity Maps

Authors: Feiten, Bernhard; Günzel, Stefan

AES Convention 94 · Paper 3542 · March 1993

Abstract

Treatment of timbre in computer music systems is an unsolved problem. A practical aspect is the organization of sound material in a sound data base. Our approach uses a connectionist model to transform multidimensional timbre on a two-dimensional similarity index for sounds. The authors propose an algorithm that simulates essential properties of the peripheral auditory system and realizes a self-organizing mapping of an input sound space to a representation of lower dimension.

Details

Published in
AES Convention 94
AES Convention
94
Paper number
3542
Publication date
March 6, 1993
Session subject
Music and Musical Instruments
Affiliation
Technische Universitat Berlin, Berlin, Germany (See document for exact affiliation information.)
Type
Convention Paper