Duration, song section, entropy: Suggestions for a model of rapid music recognition processes. Issue 4 (7th August 2020)

• Record Type: Journal Article
• Authors: Thiesen, Felix Christian; Kopiez, Reinhard; Müllensiefen, Daniel; Reuter, Christoph; Czedik-Eysenberg, Isabella
• Is Part Of: Journal of new music research. Volume 49:Issue 4(2020)
• Page Start: 334
• Page End: 348
• Publication Date: 2020-08-07
• Subjects: Brief musical excerpts -- plink -- rapid recognition -- musical genre recognition -- music classification -- cohort model; Music -- Periodicals; Musicology -- Periodicals; 780.72
• DOI: 10.1080/09298215.2020.1784955
• Languages: English
• ISSNs: 0929-8215

Abstract

Abstract : In an online study, 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 cross-modal 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.