An analysis of agreement in classical music perception and its relationship to listener characteristics

Publication date

2017-10-16T09:45:21Z

2017-10-16T09:45:21Z

2016

Abstract

Comunicació presentada a la ISMR 2016, 17th International Society for Music Information Retrieval Conference, celebrada els dies 7 a 11 d'agost de 2016 a New York City.


We present a study, carried out on 241 participants, which investigates on classical music material the agreement of listeners on perceptual music aspects (related to emotion, tempo, complexity, and instrumentation) and the relationship between listener characteristics and these aspects. For the currently popular task of music emotion recognition, the former question is particularly important when defining a ground truth of emotions perceived in a given music collection. We characterize listeners via a range of factors, including demographics, musical inclination, experience, and education, and personality traits. Participants rate the music material under investigation, i.e., 15 expert-defined segments of Beethoven’s 3rd symphony, “Eroica”, in terms of 10 emotions, perceived tempo, complexity, and number of instrument groups. Our study indicates only slight agreement on most perceptual aspects, but significant correlations between several listener characteristics and perceptual qualities.


This research is supported by the Austrian Science Fund (FWF): P25655 and was made possible by the EU FP7 project no. 601166 (“PHENICX”).

Document Type

Object of conference


Published version

Language

English

Subjects and keywords

Música -- Anàlisi

Publisher

International Society for Music Information Retrieval (ISMIR)

Related items

Devaney J, Mandel MI, Turnbull D, Tzanetakis G, editors. ISMIR 2016. Proceedings of the 17th International Society for Music Information Retrieval Conference; 2016 Aug 7-11; New York City (NY). [place unknown]: ISMIR; 2016. p. 578-83.

info:eu-repo/grantAgreement/EC/FP7/601166

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Rights

Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Markus Schedl, Hamid Eghbal-Zadeh, Emilia Gomez, Marko Tkalcic. “An Analysis of Agreement in Classical Music Perception and Its Relationship to Listener Characteristics”, 17th International Society for Music Information Retrieval Conference, 2016.

http://creativecommons.org/licenses/by/4.0/

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