Conference article

How Cool is Bebop Jazz: Clustering and Decoding of Jazz Music

Antonio Rodà
Dept. of Information Engineering, University of Padova, Italy

Edoardo Da Lio
Dept. of Information Engineering, University of Padova, Italy

Maddalena Murari
Dept. of Pharmaceutical and Pharmacological Sciences, University of Padova, Italy

Sergio Canazza
Dept. of Information Engineering, University of Padova, Italy

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Published in: KEER2018, Go Green with Emotion. 7th International Conference on Kansei Engineering & Emotion Research 2018, 19-22 March 2018, Kuching, Malaysia

Linköping Electronic Conference Proceedings 146:32, p. 298-308

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Published: 2018-03-13

ISBN: 978-91-7685-314-6

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

Music is able to arouse and heighten listener’s emotions and sensations. However, experimental studies on the connotative meaning of particular music repertoires, such as jazz music, are still scarce. The study uses 20 subjects to evaluate and describe verbally 25 pieces of jazz music that belongs to cool jazz and bebop sub-genres. Three clusters have emerged, which can be related to the well-known valence-arousal emotional space. A further analysis of the acoustic features of the tracks revealed that bebop tracks are mainly associated with low valence values that were characterized by a high degree of roughness.

Keywords

Music expressiveness, kansei and music, musical features, cool jazz, bebop

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