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Communication Dans Un Congrès Année : 2019

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

Résumé

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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Dates et versions

hal-02442010 , version 1 (16-01-2020)

Identifiants

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

Citer

Nicolas Dauban, Christine Sénac, 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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