Although the models with phonetic variability show similar overall segmentation accuracy on noisy data to the original GGJ model, the pattern of errors changes, with less oversegmentation and more un-dersegmentation.
their qualitative performance on variable data resembles GGJ's on clean data, and therefore the behavior of human learners.