Identification of Animal Species from Their Sounds

  • Gavril-Petre PopEmail author
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 71)


Identification of animal species based on their sounds has already proven to be useful in biodiversity assessment. In this paper we explore the use of a combined Teager—cepstral—TESPAR (Time Encoded Signal Processing And Recognition) analysis to discriminate between different animal species. Our experiments using this approach together with classification techniques shows that TESPAR S-matrices of Teager cepstral coefficients along with some additional features can be successfully used to discriminate between different animal species, even in the conditions of small training sets.


Animal species identification Cepstral coefficients TESPAR analysis Teager energy operator Machine learning 


Conflict of Interest

The authors declare that they have no conflict of interest.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Communications DepartmentTechnical University of Cluj-NapocaCluj-NapocaRomania

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