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Open AccessExtended Abstract
Proceedings 2018, 2(18), 1183; https://doi.org/10.3390/proceedings2181183

Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification

1
Information Retrieval Lab, CITIC, Universidade da Coruña, 15071 A Coruña, Spain
2
Multimedia Technology Group, atlanTTic Research Center, Universidade de Vigo, E36310 Vigo, Spain
Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Published: 17 September 2018
PDF [184 KB, uploaded 17 September 2018]

Abstract

This work proposes the use of features based on the discrete wavelet transform (DWT) for dolphin species classification. These features are compared with other previously used in the literature, and the experiments carried out in a database featuring four different species of cetaceans (three dolphins and a pilot whale) showed that the use of DWT features led to improved classification performance.
Keywords: cetacean classification; whistle contour; discrete wavelet transform cetacean classification; whistle contour; discrete wavelet transform
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Lopez-Otero, P.; Docio-Fernandez, L.; Cardenal-López, A. Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification. Proceedings 2018, 2, 1183.

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