Feature set comparison for automatic bird species identification

@article{Lopes2011FeatureSC,
  title={Feature set comparison for automatic bird species identification},
  author={Marcelo Teider Lopes and Carlos Nascimento Silla and Alessandro L. Koerich and Celso A. A. Kaestner},
  journal={2011 IEEE International Conference on Systems, Man, and Cybernetics},
  year={2011},
  pages={965-970}
}
This paper deals with the automated bird species identification problem, in which it is necessary to identify the species of a bird from its audio recorded song. This is a clever way to monitor biodiversity in ecosystems, since it is an indirect non-invasive way of evaluation. Different features sets which summarize in different aspects the audio properties of the audio signal are evaluated in this paper together with machine learning algorithms, such as probabilistic, instance-based, decision… CONTINUE READING

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