Assessment of the obesity based on voice perception
DOI:
https://doi.org/10.18778/1898-6773.85.4.04Keywords:
body composition, formant dispersion, fundamental frequency, formant position, obesity, fat distribution, body shapeAbstract
Human voice is an extremely important biological signal which contains information about sex, age, emotional state, health and physical features of a speaker. Estimating a physical appearance from a vocal cue can be an important asset for sciences including forensics and dietetics. Although there have been several studies focused on the relationships between vocal parameters and ratings of height, weight, age and musculature of a speaker, to our knowledge, there has not been a study examining the assessment of one’s BMI based on voice alone.
The purpose of the current study was to determine the ability of female “Judges” to evaluate speakers’ (men and women) obesity and body fat distribution from their vocal cues. It has also been checked which voice parameters are key vocal cues in this assessment.
The study material consisted of 12 adult speakers’ (6 women) voice recordings assessed by 87 “Judges” based on a 5-point graphic scale presenting body fat level and distribution (separately for men and women). For each speaker body height, weight, BMI, Visceral Fat Level (VFL, InBody 270) and acoustic parameters were measured. In addition, the accuracy of BMI category was verified. This study also aimed to determine which vocal parameters were cues for the assessment for men and women. To achieve it, two independent experiments were conducted: I: “Judges” had to choose one (obese) speaker from 3 voices (in 4 series); II: they were asked to rate body fat level of the same 12 speakers based on 5-point graphic scale.
Obese speakers (i.e., BMI above 30) were selected correctly with the accuracy greater than predicted by chance (experiment I). By using a graphic scale, our study found that speakers exhibiting higher BMI were rated as fatter (experiment II). For male speakers the most important vocal predictors of the BMI were harmonics-to-noise ratio (HNR) and formant dispersion (Df); for women: formant spacing (Pf) and intensity (loudness).
Human voice contains information about one’s increased BMI level which are hidden in some vocal cues.
Downloads
References
Armstrong MM, Lee AJ, Feinberg DR. 2019. A house of cards: bias in perception of body size mediates the relationship between voice pitch and perceptions of dominance. Anim Behav 147:43–51, https://doi.org/10.1016/j.anbehav.2018.11.005
View in Google Scholar
DOI: https://doi.org/10.1016/j.anbehav.2018.11.005
Arnocky S, Hodges-Simeon CR, Ouellette D, Albert G. 2018. Do men with more masculine voices have better immunocompetence? Evol Hum Behav 39(6):602–10, https://doi.org/10.1016/j.evolhumbehav.2018.06.003
View in Google Scholar
DOI: https://doi.org/10.1016/j.evolhumbehav.2018.06.003
Barsties B, Verfaillie R, Roy N, Maryn Y. 2013. Do body mass index and fat volume influence vocal quality, phonatory range, and aerodynamics in females? CoDAS 25(4):310–318, https://doi.org/10.1590/s2317-17822013000400003
View in Google Scholar
DOI: https://doi.org/10.1590/S2317-17822013000400003
Boersma P, Weenink D. 2019. Praat: doing phonetics by computer [Computer program]. Version 6.0.56; http://www.praat.org/ [Accessed 20 June 2019].
View in Google Scholar
Byeon H, Cha S. 2020. Evaluating the effects of smoking on the voice and subjective voice problems using a meta-analysis approach. Sci Rep 10(1):1–8, https://doi.org/10.1038/s41598-020-61565-3
View in Google Scholar
DOI: https://doi.org/10.1038/s41598-020-61565-3
Celebi S, Yelken K, Develioglu ON, Topak M, Celik O, Ipek HD, Kulekci M. 2013. Acoustic, perceptual and aerodynamic voice evaluation in an obese population. J Laryngol Otol 127(10):987–90, https://doi.org/10.1017/S0022215113001916
View in Google Scholar
DOI: https://doi.org/10.1017/S0022215113001916
Collins SA. 2000. Men’s voices and women’s choices. Anim behav 60(6):773–780, https://doi.org/10.1006/anbe.2000.1523
View in Google Scholar
DOI: https://doi.org/10.1006/anbe.2000.1523
Da Cunha MGB, Passerotti GH, Weber R, Zilberstein B, Cecconello I. 2009. Voice feature characteristic in morbid obese population. Obes Surg 21(3):340–4, https://doi.org/10.1007/s11695-009-9959-7
View in Google Scholar
DOI: https://doi.org/10.1007/s11695-009-9959-7
Evans S, Neave N, Wakelin D. 2006. Relationships between vocal characteristics and body size and shape in human males: An evolutionary explanation for a deep male voice. Biol Psychol 72(2):160–3, https://doi.org/10.1016/j.biopsycho.2005.09.003
View in Google Scholar
DOI: https://doi.org/10.1016/j.biopsycho.2005.09.003
Fant G. 1970. Acoustic theory of speech production (No. 2). Walter de Gruyter. https://doi.org/10.1515/9783110873429.13
View in Google Scholar
DOI: https://doi.org/10.1515/9783110873429
Ferrand CT. 2002. Harmonics-to-noise ratio: An index of vocal aging. J Voice 16(4):480–7, https://doi.org/10.1016/S0892-1997(02)00123-6
View in Google Scholar
DOI: https://doi.org/10.1016/S0892-1997(02)00123-6
Fitch WT. 1997. Vocal tract length and formant frequency dispersion correlate with body size in rhesus macaques. J Acoust Soc Am 102(2):1213–22, https://doi.org/10.1121/1.421048
View in Google Scholar
DOI: https://doi.org/10.1121/1.421048
Garbaniuk O. 2016. Wykorzystywanie procedury sędziów kompetentnych w naukach społecznych i możliwości jej oceny psychometrycznej za pomocą narzędzi dostępnych w Statistica. Uniwersytet Zielonogórski i Katolicki Uniwersytet Lubelski Jana Pawła II. https://doi.org/10.33141/po.2020.12.02
View in Google Scholar
DOI: https://doi.org/10.33141/po.2020.12.02
González J. 2004. Formant frequencies and body size of speaker: A weak relationship in adult humans. J Phon Academic Press 32(2):277–87, https://doi.org/10.1016/S0095-4470(03)00049-4
View in Google Scholar
DOI: https://doi.org/10.1016/S0095-4470(03)00049-4
Gregory SW. 1994. Sounds of power and deference: acoustic analysis of macro social constraints on micro interaction. Sociol Perspect 37:497–526, https://doi.org/10.2307/1389277
View in Google Scholar
DOI: https://doi.org/10.2307/1389277
Hamdan ALH, Al-Barazi R, Tabri D, Saade R, Kutkut I, Sinno S, Nassar J. 2012. Relationship between acoustic parameters and body mass analysis in young males. J Voice 26(2):144–7, https://doi.org/10.1016/j.jvoice.2011.01.011
View in Google Scholar
DOI: https://doi.org/10.1016/j.jvoice.2011.01.011
Hamdan ALH, Jabbour J, Nassar J, Dahouk I, Azar ST. 2013a. Vocal characteristics in patients with type 2 diabetes mellitus. Eur Arch Oto-Rhino-L 269(5):1489–95, https://doi.org/10.1016/j.jvoice.2012.09.005
View in Google Scholar
DOI: https://doi.org/10.1007/s00405-012-1933-7
Hamdan ALH, Al Barazi R, Khneizer G, Turfe Z, Sinno S, Ashkar J, Tabri D. 2013b. Formant frequency in relation to body mass composition. J Voice 27(5):567–71, https://doi.org/10.1016/j.jvoice.2012.09.005
View in Google Scholar
DOI: https://doi.org/10.1016/j.jvoice.2012.09.005
Hamdan ALH, Dowli A, Barazi R, Jabbour J, Azar S. 2014. Laryngeal sensory neuropathy in patients with diabetes mellitus. J Laryngol Otol 128(8):725–9, https://doi.org/10.1017/S002221511400139X
View in Google Scholar
DOI: https://doi.org/10.1017/S002221511400139X
Hodges-Simeon CR, Gurven M, Puts DA, Gaulin SJC. 2014. Vocal fundamental and formant frequencies are honest signals of threat potential in peripubertal males. Behav Ecol 25(4):984–8, https://doi.org/10.1093/beheco/aru081
View in Google Scholar
DOI: https://doi.org/10.1093/beheco/aru081
Hughes SM, Harrison MA, Gallup Jr GG. 2002. The sound of symmetry: Voice as a marker of developmental instability. Evol Hum Behav 23(3):173–80, https://doi.org/10.1016/S1090-5138(01)00099-X
View in Google Scholar
DOI: https://doi.org/10.1016/S1090-5138(01)00099-X
Janjić J, Baltić MŽ, Glišić M, Ivanović J, Bošković M, Popović M, Lovrenović M. 2016. Relationship between body mass index and body fat percentage among adolescents from Serbian Republic Child Obes 1(2):9, https://doi.org/10.21767/2572-5394.10009
View in Google Scholar
Kantarci F, Mihmanli I, Demirel MK, Harmanci K, Akman C, Aydogan F, Mihmanli A, Uysal O. 2004. Normal Diaphragmatic Motion and the Effects of Body Composition: Determination with M-Mode Sonography. J Ultrasound Med 23(2):255–60, https://doi.org/10.7863/jum.2004.23.2.255
View in Google Scholar
DOI: https://doi.org/10.7863/jum.2004.23.2.255
Lass NJ, Davis M. 1976. An investigation of speaker height and weight identification. J Acoust Soc Am 60(3):700–3, https://doi.org/10.1121/1.381142
View in Google Scholar
DOI: https://doi.org/10.1121/1.381142
Lass NJ, Brong GW, Ciccolella SA, Walters SC, Maxwell EL. 1980. An investigation of speaker height and Weight Discriminations by means of paired comparison judgments. J Phon 8(2):205–12, https://doi.org/10.1016/S0095-4470(19)31465-2
View in Google Scholar
DOI: https://doi.org/10.1016/S0095-4470(19)31465-2
Lechien JR, Finck C, Costa de Araujo P, Huet K, Delvaux V, Piccaluga M, Harmegnies B, Saussez S. 2017. Voice outcomes of laryngopharyngeal reflux treatment: a systematic review of 1483 patients. Eur Arch Oto-Rhino-L 274(1):1–23, https://doi.org/10.1007/s00405-016-3984-7
View in Google Scholar
DOI: https://doi.org/10.1007/s00405-016-3984-7
Moreira TDC, Gadenz C, Figueiró LR, Capobianco DM, Cunha K, Ferigolo M, Barros HMT, Cassol M. 2015. Substance use, voice changes and quality of life in licit and illicit drug users. Revista CEFAC 17:374–384, https://doi.org/10.1590/1982-021620156714
View in Google Scholar
DOI: https://doi.org/10.1590/1982-021620156714
Oguchi T, Kikuchi H. 1997. Voice and interpersonal attraction. Jpn Psychol Res 39:56–61, https://doi.org/10.1111/1468-5884.00037
View in Google Scholar
DOI: https://doi.org/10.1111/1468-5884.00037
Pawelec ŁP, Graja K, Lipowicz A. 2022a. Vocal Indicators of Size, Shape and Body Composition in Polish Men. J Voice 36(6):878.e9-878.22, https://doi.org/10.1016/j.jvoice.2020.09.011
View in Google Scholar
DOI: https://doi.org/10.1016/j.jvoice.2020.09.011
Pawelec ŁP, Lipowicz A, Czak M, Mitas AW. 2022b. The Microphone Type and Voice Acoustic Parameters Values–A Comparative Study. In International Conference on Information Technologies in Biomedicine (pp. 421–431). Springer, Cham. https://doi.org/10.1007/978-3-031-09135-3_35
View in Google Scholar
DOI: https://doi.org/10.1007/978-3-031-09135-3_35
Pisanski K, Rendall D. 2011. The prioritization of voice fundamental frequency or formants in listeners’ assessments of speaker size, masculinity, and attractiveness. J Acoust Soc Am 129(4):2201–12, https://doi.org/10.1121/1.3552866
View in Google Scholar
DOI: https://doi.org/10.1121/1.3552866
Pisański K, Fraccaro PJ, Tigue CC, O’Connor JJM, Röder S, Andrews PW, Fink B, De-Bruine LM, Jones BC, Feinberg DR. 2014. Vocal indicators of body size in men and women: a meta-analysis. Anim Behav 95:89–99, https://doi.org/10.1016/j.anbehav.2014.06.011
View in Google Scholar
DOI: https://doi.org/10.1016/j.anbehav.2014.06.011
Pisanski K, Jones BC, Fink B, O’Connor JJM, DeBruine LM, Röder S, Feinberg DR. 2016. Voice parameters predict sex-specific body morphology in men and women. Anim Behav 112:13–22, https://doi.org/10.1016/j.anbehav.2015.11.008
View in Google Scholar
DOI: https://doi.org/10.1016/j.anbehav.2015.11.008
Pisanski K, Oleszkiewicz A, Sorokowska A. 2016. Can blind persons accurately assess body size from the voice? Biol Lett 12(4), https://doi.org/10.1098/rsbl.2016.0063
View in Google Scholar
DOI: https://doi.org/10.1098/rsbl.2016.0063
Puts DA, Gaulin SJC, Verdolini K. 2006. Dominance and the evolution of sexual dimorphism in human voice pitch. Evol Hum Behav 27:283–296, https://doi.org/10.1016/j.evolhumbehav.2005.11.003
View in Google Scholar
DOI: https://doi.org/10.1016/j.evolhumbehav.2005.11.003
Puts DA, Hodges CR, Cárdenas RA, Gaulin SJ. 2007. Men’s voices as dominance signals: vocal fundamental and formant frequencies influence dominance attributions among men. Evol Hum Behav 28(5):340–4, https://doi.org/10.1016/j.evolhum behav.2007.05.002
View in Google Scholar
DOI: https://doi.org/10.1016/j.evolhumbehav.2007.05.002
Puts DA, Apicella CL, Cárdenas RA. 2012. Masculine voices signal men’s threat potential in forager and industrial societies. Proc Royal Soc B 279(1728):601–9, https://doi.org/10.1098/rspb.2011.0829
View in Google Scholar
DOI: https://doi.org/10.1098/rspb.2011.0829
Raine J, Pisanski K, Simner J, Reby D. 2019. Vocal communication of simulated pain. Bioacoustics 28(5):404–26, https://doi.org/10.1080/09524622.2018.1463295
View in Google Scholar
DOI: https://doi.org/10.1080/09524622.2018.1463295
Ramel A, Halldorsson TI, Tryggvadottir EA, Martinez JA, Kiely M, Bandarra NM, Thorsdottir I. 2013. Relationship between BMI and body fatness in three European countries. Eur J Clin Nutr, 67(3):254–8, https://doi.org/10.1038/ejcn.2013.6
View in Google Scholar
DOI: https://doi.org/10.1038/ejcn.2013.6
Ravi R, Gunjawate DR. 2019. Effect of diabetes mellitus on voice: a systematic review. Pract Diabetes 36(5):177–80, https://doi.org/10.1002/pdi.2240
View in Google Scholar
DOI: https://doi.org/10.1002/pdi.2240
Rendall D, Kollias S, Ney C, Lloyd P. 2005. Pitch (F0) and formant profiles of human vowels and vowel-like baboon grunts: The role of vocalizer body size and voice-acoustic allometry. J Acoust Soc Am 117(2):944–55, https://doi.org/10.1121/1.1848011
View in Google Scholar
DOI: https://doi.org/10.1121/1.1848011
Rendall D, Vokey JR, Nemeth C. 2007. Lifting the Curtain on the Wizard of Oz: Biased Voice-Based Impressions of Speaker Size. J Exp Psychol Hum Percept Perform 33(5):1208–19, https://doi.org/10.1037/0096-1523.33.5.1208
View in Google Scholar
DOI: https://doi.org/10.1037/0096-1523.33.5.1208
Souza LB, Pereira RM, Santos MM, Godoy CM. 2014. Fundamental frequency, phonation maximum time and vocal complaints in morbidly obese women. Arq Bras Cir Dig 27(1):43–6, https://doi.org/10.1590/S0102-67202014000100011
View in Google Scholar
DOI: https://doi.org/10.1590/s0102-67202014000100011
Sell A, Bryant GA, Cosmides L, Tooby J, Sznycer D, Von Rueden C, Krauss A, Gurven M. 2010. Adaptations in humans for assessing physical strength from the voice. Proc Royal Soc B 277(1699):3509–18, https://doi.org/10.1098/rspb.2010.0769
View in Google Scholar
DOI: https://doi.org/10.1098/rspb.2010.0769
Sidorova J, Carbonell P, Čukić M. 2020. Blood glucose estimation from voice: first review of successes and challenges. J Voice. Epub ahead of print, https://doi.org/10.1016/j.jvoice.2020.08.034
View in Google Scholar
DOI: https://doi.org/10.1016/j.jvoice.2020.08.034
Singh D. 1993. Adaptive significance of female physical attractiveness: role of waist-to-hip ratio. J Pers Soc Psychol 65(2):293–307, https://doi.org/10.1037//0022-3514.65.2.293
View in Google Scholar
DOI: https://doi.org/10.1037/0022-3514.65.2.293
Singh D. 1995. Female judgment of male attractiveness and desirability for relationships: role of waist-to-hip ratio and financial status. J Pers Soc Psychol 69(6):1089–101, https://doi.org/10.1037//0022-3514.69.6.1089
View in Google Scholar
DOI: https://doi.org/10.1037/0022-3514.69.6.1089
Pinyopodjanard S, Suppakitjanusant P, Lomprew P, Kasemkosin N, Chailurkit L, Ongphiphadhanakul B. 2021. Instrumental acoustic voice characteristics in adults with type 2 diabetes. J Voice 35(1):116–21, https://doi.org/10.1016/j.jvoice.2019.07.003
View in Google Scholar
DOI: https://doi.org/10.1016/j.jvoice.2019.07.003
Sondhi S, Khan M, Vijay R, Salhan AK. 2015. Vocal indicators of emotional stress. Int J Comput Appl 122(15):38–43, https://doi.org/10.5120/21780-5056
View in Google Scholar
DOI: https://doi.org/10.5120/21780-5056
Souza LBR, Santos MM. 2018. Body mass index and acoustic voice parameters: is there a relationship? Braz J Otorhinolaryngol 84(4):410–15, https://doi.org/10.1016/j.bjorl.2017.04.003
View in Google Scholar
DOI: https://doi.org/10.1016/j.bjorl.2017.04.003
Tarafder KH, Datta PG, Tariq A. 2012. The aging voice. BSSMU 5(1):83–86, https://doi.org/10.3329/BSMMUJ.V5I1.11033
View in Google Scholar
DOI: https://doi.org/10.3329/bsmmuj.v5i1.11033
Teixeira JP, Fernandes PO. 2014. Jitter, shimmer and HNR classification within gender, tones and vowels in healthy voices. Proc Technol 16:1228–1237, https://doi.org/10.1016/j.protcy.2014.10.138
View in Google Scholar
DOI: https://doi.org/10.1016/j.protcy.2014.10.138
Wang Y, Zeinali-Davarani S, Davis EC, Zhang Y. 2015. Effect of glucose on the biomechanical function of arterial elastin. J Mech Behav Biomed Mater 49:244–54, https://doi.org/10.1016/j.jmbbm.2015.04.025
View in Google Scholar
DOI: https://doi.org/10.1016/j.jmbbm.2015.04.025
Wolfe VI, Ratusnik DL, Smith FH, Northrop G. 1990. Intonation and fundamental frequency in male-to-female transsexuals. J Speech Hear Dis 55(1):43–50, https://doi.org/10.1044/jshd.5501.43
View in Google Scholar
DOI: https://doi.org/10.1044/jshd.5501.43
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Funding data
-
Uniwersytet Przyrodniczy we Wroclawiu
Grant numbers N020 – Fundusz Wsparcia Badań Naukowych – Bon Doktoranta Szkoły Doktorskiej, number N020/0008/20