Table 2. Cross-validating over stories and speakers.

With the current dataset, there are only two folds that do not mix stories and speakers across training and test sets. Top: Story 1 as test data; story 2, 3, and 4 as training data and validation data (85/15% division, per story). Bottom: similarly, but now with a different story and speaker as test data. In both cases, the story and speaker are completely unseen by the model. The model is trained on the same training set for all subjects and tested on a unique, subject-specific, test set.

Story	Speaker	Subject 1	Subject 2	…	Subject 16
1	1	test	test	…	test
2	2	train/val
3	3	train/val
4	3	train/val
Story	Speaker	Subject 1	Subject 2	…	Subject 16
1	1	train/val
2	2	test	test	…	test
3	3	train/val
4	3	train/val