Manual identification
Manual identification was used to identify candidate focal species and collect vocalizations to be used in species classifiers. A random selection of 1,000 audio files from the complete audio dataset were manually assessed and a record was made of all species that could be positively identified within each file in order to determine which species were heard most often and would therefore make the best candidate focal species. Files with positive identifications were then used as part of the training datasets for the single species classifiers. These manual identifications were used again later in the workflow to measure the recall rate of the completed species classifiers.