Perceptual (but not acoustic) features predict singing voice preferences

Abstract Why do we prefer some singers to others? We investigated how much singing voice preferences can be traced back to objective features of the stimuli. To do so, we asked participants to rate short excerpts of singing performances in terms of how much they liked them as well as in terms of 10...

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Main Authors: Camila Bruder, David Poeppel, Pauline Larrouy-Maestri
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-58924-9
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author Camila Bruder
David Poeppel
Pauline Larrouy-Maestri
author_facet Camila Bruder
David Poeppel
Pauline Larrouy-Maestri
author_sort Camila Bruder
collection DOAJ
description Abstract Why do we prefer some singers to others? We investigated how much singing voice preferences can be traced back to objective features of the stimuli. To do so, we asked participants to rate short excerpts of singing performances in terms of how much they liked them as well as in terms of 10 perceptual attributes (e.g.: pitch accuracy, tempo, breathiness). We modeled liking ratings based on these perceptual ratings, as well as based on acoustic features and low-level features derived from Music Information Retrieval (MIR). Mean liking ratings for each stimulus were highly correlated between Experiments 1 (online, US-based participants) and 2 (in the lab, German participants), suggesting a role for attributes of the stimuli in grounding average preferences. We show that acoustic and MIR features barely explain any variance in liking ratings; in contrast, perceptual features of the voices achieved around 43% of prediction. Inter-rater agreement in liking and perceptual ratings was low, indicating substantial (and unsurprising) individual differences in participants’ preferences and perception of the stimuli. Our results indicate that singing voice preferences are not grounded in acoustic attributes of the voices per se, but in how these features are perceptually interpreted by listeners.
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spelling doaj.art-d35358bd403d44cb824ca932a508b5122024-04-21T11:18:52ZengNature PortfolioScientific Reports2045-23222024-04-0114111510.1038/s41598-024-58924-9Perceptual (but not acoustic) features predict singing voice preferencesCamila Bruder0David Poeppel1Pauline Larrouy-Maestri2Max Planck Institute for Empirical AestheticsNew York UniversityMax Planck Institute for Empirical AestheticsAbstract Why do we prefer some singers to others? We investigated how much singing voice preferences can be traced back to objective features of the stimuli. To do so, we asked participants to rate short excerpts of singing performances in terms of how much they liked them as well as in terms of 10 perceptual attributes (e.g.: pitch accuracy, tempo, breathiness). We modeled liking ratings based on these perceptual ratings, as well as based on acoustic features and low-level features derived from Music Information Retrieval (MIR). Mean liking ratings for each stimulus were highly correlated between Experiments 1 (online, US-based participants) and 2 (in the lab, German participants), suggesting a role for attributes of the stimuli in grounding average preferences. We show that acoustic and MIR features barely explain any variance in liking ratings; in contrast, perceptual features of the voices achieved around 43% of prediction. Inter-rater agreement in liking and perceptual ratings was low, indicating substantial (and unsurprising) individual differences in participants’ preferences and perception of the stimuli. Our results indicate that singing voice preferences are not grounded in acoustic attributes of the voices per se, but in how these features are perceptually interpreted by listeners.https://doi.org/10.1038/s41598-024-58924-9
spellingShingle Camila Bruder
David Poeppel
Pauline Larrouy-Maestri
Perceptual (but not acoustic) features predict singing voice preferences
Scientific Reports
title Perceptual (but not acoustic) features predict singing voice preferences
title_full Perceptual (but not acoustic) features predict singing voice preferences
title_fullStr Perceptual (but not acoustic) features predict singing voice preferences
title_full_unstemmed Perceptual (but not acoustic) features predict singing voice preferences
title_short Perceptual (but not acoustic) features predict singing voice preferences
title_sort perceptual but not acoustic features predict singing voice preferences
url https://doi.org/10.1038/s41598-024-58924-9
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