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Open AccessExtended Abstract

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
*
Author to whom correspondence should be addressed.
Presented at the XoveTIC Congress, A Coruña, Spain, 27–28 September 2018.
These authors contributed equally to this work.
Proceedings 2018, 2(18), 1183; https://doi.org/10.3390/proceedings2181183
Published: 17 September 2018
(This article belongs to the Proceedings of XoveTIC Congress 2018)
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
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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