Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43980
Título: An automatic acoustic bat identification system based on the audible spectrum
Autores/as: Henríquez, Aarón
Alonso, Jesús B. 
Travieso, Carlos M. 
Rodríguez-Herrera, Bernal
Bolaños, Federico
Alpízar, Priscilla
López-De-Ipina, Karmele
Henriquez, P. 
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Bat identification, Feature extraction, Spectrogram, Audio adaptation
Fecha de publicación: 2014
Editor/a: 0957-4174
Publicación seriada: Expert Systems with Applications 
Resumen: Nowadays the task of monitoring bat species is a very difficult task because of several factors. The main ones are the difficulty of creating databases automatically and the particularities of the vocalizations of bats. For this reason, it is common to extract bat calls manually from a recording and treat them individually. We propose a new form of identification and labeling process based on adapting bat calls to the audible spectrum and significantly reducing the noise of its spectrogram. This process can be performed automatically from a recording made in a natural area. Our database consists of 189 h of recordings obtained in various natural areas in Costa Rica. 50 bats calls of 7 different classes are extracted from this database. We have obtained an average error of 2.7% and 3 of the 7 classes have an error below 1%
URI: http://hdl.handle.net/10553/43980
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2014.02.021
Fuente: Expert Systems with Applications[ISSN 0957-4174],v. 41, p. 5451-5465
Colección:Artículos
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