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Automated Robust Anuran Classification by Extracting Elliptical Feature Pairs from Audio Spectrograms

Citation Author(s):
Katrina Smart, Ronaldo Menezes, Mark Bush, Eraldo Ribeiro
Submitted by:
Marcello Tomasini
Last updated:
8 March 2017 - 7:34pm
Document Type:
Poster
Document Year:
2017
Event:
Presenters:
Marcello Tomasini
Paper Code:
MLSP-P3.6
 

Ecologists can assess the health of wetlands by monitoring populations of animals such as Anurans (i.e., frogs and toads), which are sensitive to habitat changes. But, surveying anurans requires trained experts to identify species from the animals’ mating calls. This identification task can be streamlined by automation. To this end, we propose an automatic frog-call classification algorithm and a smartphone application that drastically simplify the monitoring of anuran populations.

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