Assessment of the obesity based on voice perception

Q2 Social Sciences
Ł. Pawelec, Karolina Kierczak, A. Lipowicz
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引用次数: 0

Abstract

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.
基于声音感知的肥胖评估
人声是一种极其重要的生物信号,它包含了说话者的性别、年龄、情绪状态、健康和身体特征等信息。根据声音线索估计身体外观可能是法医学和营养学等科学的重要资产。尽管已经有几项研究聚焦于嗓音参数与说话者身高、体重、年龄和肌肉组织评级之间的关系,但据我们所知,还没有一项研究单独基于嗓音来评估一个人的BMI。本研究的目的是确定女性“法官”从声音线索评估说话者(男性和女性)肥胖和体脂分布的能力。还检查了哪些语音参数是本评估中的关键语音提示。该研究材料由12名成年演讲者(6名女性)的录音组成,由87名“法官”根据5点图形量表(分别针对男性和女性)评估。测量每个扬声器的身高、体重、BMI、内脏脂肪水平(VFL,InBody 270)和声学参数。此外,还验证了BMI分类的准确性。这项研究还旨在确定哪些嗓音参数是男性和女性评估的线索。为了实现这一点,我们进行了两个独立的实验:一:“评委”必须从3个声音(4个系列)中选择一个(肥胖)演讲者;II: 他们被要求根据5点图形量表对同12位演讲者的体脂水平进行评分。肥胖者(即BMI高于30)被正确选择,其准确性高于偶然预测(实验i)。通过使用图形量表,我们的研究发现,BMI较高的演讲者被评为更胖(实验II)。对于男性说话者来说,BMI最重要的声乐预测因子是谐波噪声比(HNR)和共振峰色散(Df);女性:共振峰间距(Pf)和强度(响度)。人声包含一些隐藏在某些声音线索中的BMI水平升高的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Anthropological Review
Anthropological Review Social Sciences-Anthropology
CiteScore
0.90
自引率
0.00%
发文量
35
审稿时长
20 weeks
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