Automatic data selection for validation: A method to determine cetacean occurrence in large acoustic data sets
2021; Acoustical Society of America; Volume: 1; Issue: 5 Linguagem: Inglês
10.1121/10.0004851
ISSN2691-1191
AutoresKatie Kowarski, Julien Delarue, Briand Gaudet, Bruce Martin,
Tópico(s)Underwater Acoustics Research
ResumoPassive acoustic monitoring (PAM) can inform wildlife management by providing information on the distribution of cetaceans. This paper presents an automatic data selection for validation (ADSV) method to effectively identify all species acoustically present in large PAM data sets. The ADSV method involves the application of automated detectors, the automated selection of a portion of data for manual review, and the evaluation/optimization of automated detectors. Using an exemplar data set, results from the ADSV method were compared to a more intensive systematic manual review method. The two methods were found to have similar species occurrence results (hourly occurrence matching 73%–100%).
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