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Temporally-aware algorithms for the classification of anuran sounds

 

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Opened Access Temporally-aware algorithms for the classification of anuran sounds
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Author: Luque Sendra, Amalia
Romero-Lemos, Javier
Carrasco Muñoz, Alejandro
González-Abril, Luis
Department: Universidad de Sevilla. Departamento de Ingeniería del Diseño
Universidad de Sevilla. Departamento de Tecnología Electrónica
Universidad de Sevilla. Departamento de Economía Aplicada I
Date: 2018
Published in: PeerJ, 6, e4732-.
Document type: Article
Abstract: Several authors have shown that the sounds of anurans can be used as an indicator of climate change. Hence, the recording, storage and further processing of a huge number of anuran sounds, distributed over time and space, are required in order to ...
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Cite: Luque Sendra, A., Romero-Lemos, J., Carrasco Muñoz, A. y González-Abril, L. (2018). Temporally-aware algorithms for the classification of anuran sounds. PeerJ, 6, e4732-.
Size: 13.29Mb
Format: PDF

URI: https://hdl.handle.net/11441/76992

DOI: 10.7717/peerj.4732

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