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

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.
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https://hal.archives-ouvertes.fr/hal-02442010
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Submitted on : Thursday, January 16, 2020 - 11:37:35 AM
Last modification on : Thursday, June 10, 2021 - 3:08:13 AM
Long-term archiving on: : Friday, April 17, 2020 - 4:19:54 PM

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  • HAL Id : hal-02442010, version 1
  • OATAO : 24961

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Nicolas Dauban, Christine Sènac, Julien Pinquier, Pascal Gaillard, Ludovic Florin, et al.. Automatic Analysis and Musicological Interpretation of Human Free Sorting of Musical Excerpts. 11th International Conference on Advances in Multimedia (MMEDIA 2019), Apr 2019, Valencia, Spain. pp.42-48. ⟨hal-02442010⟩

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