In this study, we outline a methodology to quantify the degree of similarity between pairs of f0 distributions based on the Anderson-Darling measure that underlies its namesake goodness-of-fit test. The procedure emphasizes differences due to more fine-grained f0 modulations rather than differences in measures of central tendency, such as the mean and median. In order to assess the procedure’s usefulness for speaker comparison, we applied it to a multilingual corpus in which participants contributed speech delivered in three speaking styles. The similarity measure was calculated separately as function of speaking style and speaker. Between-speaker variability (different speakers, same style) in distribution similarity varied significantly between styles — spontaneous interview shows greater variability than read sentences and word list in five languages (English, French, Italian, Portuguese and Swedish); in Estonian and German, read sentences yield more variability. Within-speaker variability (same speaker, different styles) levels are lower than between-speaker in the style that exhibit the greatest variability. The results point to the potential use of the proposed methodology as a way to identify possible idiosyncratic traits in f0 distributions. Also, they further demonstrate the effect of speaking styles on intonation patterns.