If you use data from only one individual, you are telling SongScope that a large number of individuals have very little variation in their calls. SongScope will reject calls that aren't nearly identical to this individual's calls. The solution is using more training data, preferably from different sites at different times and conditions to be sure that a dozen or so individuals are present. This will reflect the broadest range of variations present and avoid model segmentation.