Literature DB >> 34582736

Human voice pitch measures are robust across a variety of speech recordings: methodological and theoretical implications.

Katarzyna Pisanski1,2,3, Agata Groyecka-Bernard1,4, Piotr Sorokowski1.   

Abstract

Fundamental frequency (fo), perceived as voice pitch, is the most sexually dimorphic, perceptually salient and intensively studied voice parameter in human nonverbal communication. Thousands of studies have linked human fo to biological and social speaker traits and life outcomes, from reproductive to economic. Critically, researchers have used myriad speech stimuli to measure fo and infer its functional relevance, from individual vowels to longer bouts of spontaneous speech. Here, we acoustically analysed fo in nearly 1000 affectively neutral speech utterances (vowels, words, counting, greetings, read paragraphs and free spontaneous speech) produced by the same 154 men and women, aged 18-67, with two aims: first, to test the methodological validity of comparing fo measures from diverse speech stimuli, and second, to test the prediction that the vast inter-individual differences in habitual fo found between same-sex adults are preserved across speech types. Indeed, despite differences in linguistic content, duration, scripted or spontan--eous production and within-individual variability, we show that 42-81% of inter-individual differences in fo can be explained between any two speech types. Beyond methodological implications, together with recent evidence that inter-individual differences in fo are remarkably stable across the lifespan and generalize to emotional speech and nonverbal vocalizations, our results further substantiate voice pitch as a robust and reliable biomarker in human communication.

Entities:  

Keywords:  fundamental frequency; nonverbal communication; sexual selection; source-filter theory; speech

Mesh:

Year:  2021        PMID: 34582736      PMCID: PMC8478519          DOI: 10.1098/rsbl.2021.0356

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.812


  23 in total

1.  Breaking voice identity perception: Expressive voices are more confusable for listeners.

Authors:  Nadine Lavan; Luke Fk Burston; Paayal Ladwa; Siobhan E Merriman; Sarah Knight; Carolyn McGettigan
Journal:  Q J Exp Psychol (Hove)       Date:  2019-03-21       Impact factor: 2.143

2.  The pitch of babies' cries predicts their voice pitch at age 5.

Authors:  Florence Levrero; Nicolas Mathevon; Katarzyna Pisanski; Erik Gustafsson; David Reby
Journal:  Biol Lett       Date:  2018-07       Impact factor: 3.703

3.  Physiologic and acoustic differences between male and female voices.

Authors:  I R Titze
Journal:  J Acoust Soc Am       Date:  1989-04       Impact factor: 1.840

4.  Adaptations in humans for assessing physical strength from the voice.

Authors:  Aaron Sell; Gregory A Bryant; Leda Cosmides; John Tooby; Daniel Sznycer; Christopher von Rueden; Andre Krauss; Michael Gurven
Journal:  Proc Biol Sci       Date:  2010-06-16       Impact factor: 5.349

5.  Sexual selection on male vocal fundamental frequency in humans and other anthropoids.

Authors:  David A Puts; Alexander K Hill; Drew H Bailey; Robert S Walker; Drew Rendall; John R Wheatley; Lisa L M Welling; Khytam Dawood; Rodrigo Cárdenas; Robert P Burriss; Nina G Jablonski; Mark D Shriver; Daniel Weiss; Adriano R Lameira; Coren L Apicella; Michael J Owren; Claudia Barelli; Mary E Glenn; Gabriel Ramos-Fernandez
Journal:  Proc Biol Sci       Date:  2016-04-27       Impact factor: 5.349

6.  What makes a voice masculine: physiological and acoustical correlates of women's ratings of men's vocal masculinity.

Authors:  Valentina Cartei; Rod Bond; David Reby
Journal:  Horm Behav       Date:  2014-08-27       Impact factor: 3.587

7.  Individual differences in human voice pitch are preserved from speech to screams, roars and pain cries.

Authors:  Katarzyna Pisanski; Jordan Raine; David Reby
Journal:  R Soc Open Sci       Date:  2020-02-26       Impact factor: 2.963

8.  Low fundamental and formant frequencies predict fighting ability among male mixed martial arts fighters.

Authors:  Toe Aung; Stefan Goetz; John Adams; Clint McKenna; Catherine Hess; Stiven Roytman; Joey T Cheng; Samuele Zilioli; David Puts
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

9.  How do you say 'hello'? Personality impressions from brief novel voices.

Authors:  Phil McAleer; Alexander Todorov; Pascal Belin
Journal:  PLoS One       Date:  2014-03-12       Impact factor: 3.240

10.  Judgements of a speaker's personality are correlated across differing content and stimulus type.

Authors:  Gaby Mahrholz; Pascal Belin; Phil McAleer
Journal:  PLoS One       Date:  2018-10-04       Impact factor: 3.240

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