Duration, song section, entropy: Suggestions for a model of rapid music recognition processes

Thiesen, Felix; Kopiez, Reinhard and Müllensiefen, Daniel. 2020. Duration, song section, entropy: Suggestions for a model of rapid music recognition processes. Journal of New Music Research, 49(4), pp. 334-348. ISSN 0929-8215 [Article]

No full text available
[img] Text
Thiesenetal_InstRecog_2020.pdf - Published Version
Permissions: Administrator Access Only

Download (2MB)

Abstract or Description

In an onlinestudy, N=517 participants rated 48 very short musical stimuli comprised of well-known pop songs with regard to arrangement parameters and cross-modal variables. Identification rates for songs and artists ranged between 0-7%. We observed associations between increasing stimulus durations as well as structural sections (chorus or verse) and detection rates. Analyses of the crossmodal variables revealed a main factor, representing the perceived ‘orderliness’ of a plink as a strong predictor for title recognition. When psychoacoustic low-level features were entered, Spectral Entropy became the main predictor. The presence of a singing voice additionally seemed to facilitate recognition processes.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1080/09298215.2020.1784955

Keywords:

Brief musical excerpts, plink, rapid recognition, musical genre recognition, music classification, cohort model

Departments, Centres and Research Units:

Psychology

Dates:

DateEvent
1 June 2020Accepted
2 July 2020Published

Item ID:

29012

Date Deposited:

10 Jul 2020 13:07

Last Modified:

10 Jul 2020 13:07

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/29012

View statistics for this item...

Edit Record Edit Record (login required)