Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43959
Title: Advance in the bat acoustic identification systems based on the audible spectrum using nonlinear dynamics characterization
Authors: Alonso, Jesús B. 
Henríquez, A.
Henríquez, P. 
Rodríguez-Herrera, Bernal
Bolaños, Federico
Alpízar, Priscilla
Travieso González, Carlos Manuel 
Cabrera, Josué
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Bat identificationNonlinear parameterizationAudio characterization
Issue Date: 2015
Publisher: 0957-4174
Journal: Expert Systems with Applications 
Abstract: Frequential and time lineal parameters have shown a good performance in the recognition of bat species and nowadays there are many works which obtain those characteristics very accurately. However, it is necessary to move forward and test the capabilities of other characterizations on bioacoustics successfully used in other fields. In this work the chaos theory, which is an area of nonlinear dynamics systems, is applied to bat acoustic identification. The database used in the evaluation consists of 50 bat calls of seven different classes extracted from a previous work. The combinations of linear and nonlinear parameters have resulted in an average error of 1.8%, improving the accuracy in 0.42%. The differences to identify between the most difficult species and the easiest ones have been reduced.
URI: http://hdl.handle.net/10553/43959
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2015.07.069
Source: Expert Systems with Applications[ISSN 0957-4174],v. 42, p. 9528-9538
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