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Erbs, F., Gridley, T., Elwen, S. Automatic classification of whistles from coastal dolphins of the southern African subregion The Journal of the Acoustical Society of America, vol 141, issue 4, p.2489–2500, 2017
Resum:
Passive acoustic monitoring (PAM) is commonly used to generate information on the distribution,
abundance, and behavior of cetacean species. In African waters, the utilization of PAM lags behind
most other continents. This study examines whether the whistles of three coastal delphinid species
(Delphinus delphis, Tursiops truncatus, and Tursiops aduncus) commonly encountered in the
southern African subregion can be readily distinguished using both statistical analysis of standard
whistle parameters and the automated detection and classification software PAMGuard. A first
account of whistles recorded from D. delphis from South Africa is included. Using PAMGuard,
classification to species was high with an overall mean correct classification rate of 87.3%.
Although lower, high rates of correct classification were also found (78.4%) when the two T. aduncus
populations were included separately. Classification outcomes reflected patterns observed in
standard whistle parameters. Such acoustic discrimination may be useful for confirmation of morphologically
similar species in the field. Classification success was influenced by training and testing
the classifier with data from different populations, highlighting the importance of locally
collected acoustic data to inform classifiers. The small number of sampling populations may have
inflated the classification success, therefore, classification trials using a greater number of species
are recommended.
Publicació en pdf:
Erbs et al. - 2017 - Automatic classification of whistles from coastal .pdf
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