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Classification of sperm whale clicks (Physeter macrocephalus) with Gaussian-kernel based networks
Van der Schaar, Mike Connor Roger Malcolm; Delory, Eric; André, Michel
Universitat Politècnica de Catalunya. Centre Tecnològic de Vilanova i la Geltrú; Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques
With the aim of classifying sperm whales, this report compares two methods that can use Gaussian functions, a radial basis function network, and support vector machines which were trained with two different approaches known as C-SVM and º-SVM. The methods were tested on data recordings from seven different male sperm whales, six containing single click trains and the seventh containing a complete dive. Both types of classifiers could distinguish between the clicks of the seven different whales, but the SVM seemed to have better generalisation towards unknown data, at the cost of needing more information and slower performance.
Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics
Underwater acoustics
Sperm whale
Classification
Sperm whale
Radial basis function
Support vector machine
Catxalots -- Identificació
Acústica submarina
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
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