Automatic Analysis and Musicological Interpretation of Human Free Sorting of Musical Excerpts - Archive ouverte HAL Access content directly
Conference Papers Year : 2019

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.
Fichier principal
Vignette du fichier
dauban_24961.pdf (458.73 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

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

Identifiers

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

Cite

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⟩
120 View
54 Download

Share

Gmail Facebook X LinkedIn More