Soft Computing

, Volume 21, Issue 23, pp 7099–7106 | Cite as

Comparison of neural network topologies for the classification of frogs by their songs

  • Sergio Flórez Percy
  • Andrea Mesa Piedrahita
  • Roberto Ferro Escobar
  • Rubén González Crespo
Methodologies and Application


At present the capture and recognition of sounds from different animal species have great value in making biological and environmental research in certain areas affected by humans. In this paper, two topologies for five species of anurans are proposed using a database that contains samples of sounds emitted by them. For the development of systems is performed processing audio signals to digitize it; then, the samples to extract the main features that will be our input system for subsequent classification methods using back-propagation and self-organized maps are processed.


Neural network Perceptron MLP Self-organizing map MFCC Fourier 



This study was no funding.

Compliance with ethical standards

Conflict of interest

There is no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Sergio Flórez Percy
    • 1
  • Andrea Mesa Piedrahita
    • 1
  • Roberto Ferro Escobar
    • 1
  • Rubén González Crespo
    • 2
  1. 1.Universidad Distrital Francisco José de CaldasBogotáColombia
  2. 2.Universidad Internacional de La Rioja (UNIR)LogroñoSpain

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