Event-level classifiers like BANTER incorporate multiple signal types and show promise for species-level classification, but separating individual detections into acoustic events is not trivial. Expert analysts can manually label automated detections as events that may include multiple signal types (e.g. clicks, whistles and burst pusles in the case of odontocetes), but what automated schemes exist, particularly when there are not consistent signal types present (e.g. “only whistles” or “clicks and whistles”)?

Event-level classifiers like BANTER incorporate multiple signal types and show promise for species-level classification, but defining the start and end time of acoustic events is not trivial, particularly when starting with an automated detector a with high false positive rate. Expert analysts can manually label events that may include multiple signal types (e.g. clicks, whistles and burst pusles in the case of odontocetes), but what strategies work well to define the start/end of acoustic events?