Human expert analyses are commonly used in bioacoustic studies and can potentially limit
the reproducibility of these results. In this paper, a machine learning method is presented to
statistically classify avian vocalizations. Automated approaches were applied to isolate bird
songs from long field recordings, assess song similarities, and classify songs into distinct
variants. Because no positive controls were available to assess the true classification of
variants, multiple replicates of automatic classification of song variants were analyzed to …