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]
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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.
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Article |
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Keywords: |
Brief musical excerpts, plink, rapid recognition, musical genre recognition, music classification, cohort model |
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Item ID: |
29012 |
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Date Deposited: |
10 Jul 2020 13:07 |
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Last Modified: |
10 Jul 2020 13:07 |
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Peer Reviewed: |
Yes, this version has been peer-reviewed. |
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