Acoustic characterization and machine prediction of perceived masculinity and femininity in adults

Citation:
Chen F, Togneri R, Maybery M, Tan DW. Acoustic characterization and machine prediction of perceived masculinity and femininity in adults. Speech Commun. 2023;147:22-40.

Keywords:
Acoustic; Extreme random forest; Femininity; Hierarchical clustering; Masculinity; Regression

Abstract:
Previous research has found that human voice can provide reliable information to be used for gender identification with a high level of accuracy. In social psychology, perceived masculinity and femininity (masculinity and femininity rated by humans) has often been considered an important feature when investigating the influence of vocal features on social behaviours.