[
Table 5: Coefficients of a beta regression generalized additive model with ratio of maximum intensity ([s] vs. vowel) as the dependent variable.
['A. parametric coefficients', 'Estimate', 'Std. Error', 't-value', 'p-value']
The data were fit to a beta regression generalized additive mixed model (in the mgcv package; mgcv) with the ratio as the dependent variable, the seven chosen variables as the parametric term, thin-plate smooths for each variable and random smooths (with first order of penalty; baayen16; soskuthy17) for (i) trajectory and for (ii) value of other variables in the latent space of the Generator network. All smooths (except for z74) are significantly different from 0 In other words, maximum intensity of [s] is increasingly attenuated compared to the intensity of the vowel as z approaches the opposite value from the one identified as predicting the presence of [s] until it completely disappears from the output.