Additionally, we used General Linear Models (GLM) to test for possible effects of sex, age, and country on voice attractiveness ratings. Similarly, to test whether mean F0, range F0, and VTL of speech and singing differ between men and women or between Brazilian and Czech participants, we performed a multivariate GLM with mean F0 and F0 range as dependent variables and sex and country of targets as factors. Due to a limited samples size, we evaluated only simple models. The effect size displayed is a partial Eta-squared (?p 2 ).
We found large effects of targets’ sex on all vocal parameters; mean speech F0 (F = , df = 1, 153, p 2 = 0.878), mean speech indonesian cupid quizzes F0 range (F = , df = 1, 153, p 2 = 0.086), VTL as measured from speech (F = , df = 1,153, p 2 = 0.934), mean singing F0 (F = , df = 1, 153, p 2 = 0.831), mean singing F0 range (F = 7.00, df = 1, 153, p = 0.009, ?p 2 = 0.045), and VTL as measured from singing (F = , df = 1, 153, p 2 = 0.911). Estimated marginal means revealed that women had a higher F0 and F0 range and shorter VTL than men (for mean values, see Table 1). There was also a significant effect of the target country on speech F0 range (F = 4.31, df = 1, 153, p = 0.040, ?p 2 = 0.028), VTL as measured from speech (F = , df = 1,153, p = 0.001, ?p 2 = 0.065), and VTL as measured from singing (F = 6.59, df = 1, 153, p = 0.011, ?p 2 = 0.042). Estimated marginal means show that Czech participants had a lower speech F0 range and longer VTL than the Brazilian participants (see Table 1 for details).
Desk 1. Imply fundamental frequency (F0) plus the selection of standard regularity (F0 range) for the semitones, and VTL (in the centimeters) into the anyone.
It’s well worth detailing that average VTL strategies for males and you can female (Table step one) compare to society-top averages (Pisanski ainsi que al., 2014). Read More …