Comparing accuracy in voice-based assessments of biological speaker traits across speech types.

ABSTRACT: Nonverbal acoustic parameters of the human voice provide cues to a vocaliser's sex, age, and body size that are relevant in human social and sexual communication, and also increasingly so for computer-based voice recognition and synthesis technologies. While studies have shown some capacity in human listeners to gauge these biological traits from unseen speakers, it remains unknown whether speech complexity improves accuracy. Here, in over 200 vocalisers and 1500 listeners of both sexes, we test whether voice-based assessments of sex, age, height and weight vary from isolated vowels and words, to sequences of vowels and words, to full sentences or paragraphs. We show that while listeners judge sex and especially age more accurately as speech complexity increases, accuracy remains high acro

SUBMITTER: Sorokowski P 

PROVIDER: S-EPMC10752881 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature