Classification of Sperm Whale Clicks (Physeter Macrocephalus) with Gaussian- Kernel-Based Networks

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 di...

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Bibliographic Details
Published in:Algorithms
Main Authors: Van der Schaar, Mike Connor Roger Malcolm, Delory, Eric, André, Michel
Other Authors: Centre Tecnològic de Vilanova i la Geltrú, Universitat Politècnica de Catalunya. LAB - Laboratori d'Aplicacions Bioacústiques
Format: Article in Journal/Newspaper
Language:English
Published: 2009
Subjects:
Àrees temàtiques de la UPC::Física::Acústica
Àrees temàtiques de la UPC::Física::Acústica::Sonar
Àrees temàtiques de la UPC::Física::Acústica::Sons subaquàtics
Sperm whale
Underwater acoustics > Mathematical models
Catxalots > Identificació
Acústica submarina > Models matemàtics
Physeter macrocephalus
Online Access:http://hdl.handle.net/2117/11857
https://doi.org/10.3390/a2031232
Description
Summary: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. Postprint (published version)

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