“…Our improved ability to acquire acoustic data continuously from multiple recording stations over extended periods of time has increased the use of automatic signal identification techniques (Zimmer, 2011) and machine learning approaches (Bianco et al, 2019) for detecting marine mammal vocalizations (Shiu et al, 2020). Several detection and classification algorithms have been developed to identify cetacean sounds, particularly the echolocation clicks of toothed whales (Soldevilla et al, 2008;Roch et al, 2011Roch et al, , 2015Giorli et al, 2016;Caruso et al, 2017;Giorli and Goetz, 2019;Hildebrand et al, 2019). Compared to manual analysis methods (spectrogram analysis), such algorithms have the advantage of being able to quickly and reliably analyze large amounts of data and produce standardized measures of sound characteristics that can be used for statistical analysis (Giorli et al, 2016;Caruso et al, 2017).…”