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Automatic Analysis and Musicological Interpretation of Human Free Sorting of Musical Excerpts

Authors:
Nicolas Dauban
Christine Sénac
Julien Pinquier
Pascal Gaillard
Ludovic Florin
Paul Albenge

Keywords: Categorization; Music Information Retrieval; Recommendation.

Abstract:
Most content-based music recommendation systems are relying on audio features which do not always match with musicological criteria. This paper describes the experimental protocol and the results of a sorting experiment, which leads to an 'average categorization' by volunteers. An automatic analysis afterward aims at identifying relevant acoustic parameters based on the obtained categories and sub-categories. A musicological analysis was also done in parallel.

Pages: 42 to 48

Copyright: Copyright (c) IARIA, 2019

Publication date: March 24, 2019

Published in: conference

ISSN: 2308-4448

ISBN: 978-1-61208-697-2

Location: Valencia, Spain

Dates: from March 24, 2019 to March 28, 2019