↓ Skip to main content

PLOS

Towards a More Nuanced View of Vocal Attractiveness

Overview of attention for article published in PLOS ONE, February 2014
Altmetric Badge

Mentioned by

news
16 news outlets
blogs
3 blogs
twitter
23 X users

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
114 Mendeley
Title
Towards a More Nuanced View of Vocal Attractiveness
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0088616
Pubmed ID
Authors

Molly Babel, Grant McGuire, Joseph King

Abstract

This study reports on male and female Californians' ratings of vocal attractiveness for 30 male and 30 female voices reading isolated words. While ratings by both sexes were highly correlated, males generally rated fellow males as less attractive than females did, but both females and males had similar ratings of female voices. Detailed acoustic analyses of multiple parameters followed by principal component analyses on vowel and voice quality measures were conducted. Relevant principal components, along with additional independent acoustic measures, were entered into regression models to assess which acoustic properties predict attractiveness ratings. These models suggest that a constellation of acoustic features which indicate apparent talker size and conformity to community speech norms contribute to perceived vocal attractiveness. These results suggest that judgments of vocal attractiveness are more complex than previously described.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Luxembourg 1 <1%
Canada 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Student > Bachelor 13 11%
Student > Master 12 11%
Student > Doctoral Student 9 8%
Researcher 9 8%
Other 24 21%
Unknown 26 23%
Readers by discipline Count As %
Psychology 29 25%
Linguistics 22 19%
Agricultural and Biological Sciences 7 6%
Arts and Humanities 5 4%
Neuroscience 4 4%
Other 16 14%
Unknown 31 27%