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Part of the book series: IFMBE Proceedings ((IFMBE,volume 71))

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Abstract

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.

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The authors declare that they have no conflict of interest.

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Correspondence to Gavril-Petre Pop .

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Pop, GP. (2019). Identification of Animal Species from Their Sounds. In: Vlad, S., Roman, N. (eds) 6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania. IFMBE Proceedings, vol 71. Springer, Singapore. https://doi.org/10.1007/978-981-13-6207-1_21

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  • DOI: https://doi.org/10.1007/978-981-13-6207-1_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6206-4

  • Online ISBN: 978-981-13-6207-1

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