11 4.52 10.60 17.58 71.81 23 12 3.77 5.00 22.20 72.80 16 13 3.26 10.43 42.94 46.63 21 Table S1. Principal Components derived from a PCA of all acoustic parameters. These 13 variables were sufficient to capture >50% of the variance of every parameter. Variables 2-13 were varimax rotated for superior interpretability. Fractions of variance due to caller ID, bout, and residual variance, were estimated by mixed-effect models using ID and bout as random effects and no fixed effects. Individual Identity, Sex Age Group, PCs 01, 02, 03, 04, PC 02 PCs 11,12 06, 07, 11, 13 Training Set 35.36%*** 66.65%* 60.25% Accuracy Cross-validated 24.24% 66.19% 57.52% Accuracy Expected Random 5.88% 50.00% 50.00% “Uniform Change” Accuracy Expected "Most Frequent 7.35% 50.00% 50.00% Group" Accuracy Nested Grouping Variable Call Bout Caller Identity Caller Identity Number of Random 1000 300 300 Permutation Runs Empirical Average Accuracy 19.10% 57.23% 55.34% under Random Permutation *p < 0.05 ***p < 0.001 Table S2. Performance of linear discriminant analysis (LDA) classifiers for individual identity, sex and age group (immature yearlings versus mature birds of ages 2 and up) on all calls. Reported correspond to deviation from the empirical average accuracy, under the p-values random permutation method described in the supplementary text. E.g., < 0.05 indicates that p when class membership was randomly permuted, the resulting classifier performed less accurately than it had performed on the original data set at least 95% of the time.
11 4.52 10.60 17.58 71.81 23 12 3.77 5.00 22.20 72.80 16 13 3.26 10.43 42.94 46.63 21 Table S1. Principal Components derived from a PCA of all acoustic parameters. These 13 variables were sufficient to capture >50% of the variance of every parameter. Variables 2-13 were varimax rotated for superior interpretability. Fractions of variance due to caller ID, bout, and residual variance, were estimated by mixed-effect models using ID and bout as random effects and no fixed effects. Individual Identity, PCs 01, 02, 03, 04, 06, 07, 11, 13 Sex PC 02 Age Group, PCs 11,12 Training Set Accuracy 35.36%*** 66.65%* 60.25% Cross-validated Accuracy 24.24% 66.19% 57.52% Expected “Uniform Random Change” Accuracy 5.88% 50.00% 50.00% Expected "Most Frequent Group" Accuracy 7.35% 50.00% 50.00% Nested Grouping Variable Call Bout Caller Identity Caller Identity Number of Random Permutation Runs 1000 300 300 Empirical Average Accuracy under Random Permutation 19.10% 57.23% 55.34% *p < 0.05 ***p < 0.001 Table S2. Performance of linear discriminant analysis (LDA) classifiers for individual identity, sex and age group (immature yearlings versus mature birds of ages 2 and up) on all calls. Reported p-values correspond to deviation from the empirical average accuracy, under the random permutation method described in the supplementary text. E.g., p < 0.05 indicates that when class membership was randomly permuted, the resulting classifier performed less accurately than it had performed on the original data set at least 95% of the time.