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Classification of Music Using Neural Net

A neural network has been used to classify program material into groups according to the room acoustics that best suit the recording. The network uses Kohonens feature map followed by learning vector quantization and a real-time system for preprocessing and classification. Although an accuracy of better than 80% was achieved, classification can vary greatly from one case to another.

Authors: Christensen, Niels Sander; Christensen, Karl Ejner; Worm, Henning
Affiliation: Bang & Olufsen, Struer, Denmark
AES Convention:92 (March 1992) Paper Number:3296 Import into BibTeX
Subject:Measurement Techniques and Instrumentation

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