[MARMAM] New Publication: Automatic classification of whistles from coastal dolphins of the southern African subregion

Florence Erbs florence.erbs at gmail.com
Sun Apr 23 10:57:42 PDT 2017

Dear Colleagues,

The Sea Search Africa <http://seasearch.co.za/> team is pleased to 
annonce the publication of the following article in the Journal of the 
Acoustical Society of America:

*Erbs, F., Elwen, S. H., & Gridley, T. (2017). *Automatic classification 
of whistles from coastal dolphins of the southern African subregion. 
/The Journal of the Acoustical Society of America/, /141/(4), 2489-2500.

*Abstract: *
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.

​The publication is available at http://dx.doi.org/10.1121/1.4978000, or 
by emailing me at florence.erbs at gmail.com.

Kind regards,

Florence Erbs

Florence Erbs
Research Assistant
Laboratori d'Aplicacions Bioacústiques (LAB)
Rambla Exposició, 24
08800 Vilanova i la Geltrú
Barcelona, Espanya

L'absence de virus dans ce courrier électronique a été vérifiée par le logiciel antivirus Avast.
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