Discriminate animal sounds using TESPAR analysis

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Abstract

Identification of animal species by their sounds is important for biological research and biodiversity assessment. In this paper we investigate the use of a dedicated TESPAR analysis, which does not use directly the acoustic signal from animals, but cepstral coefficients derived from it (MFCC and T-MFCC), to discriminate between different species. Our experiments shows that TESPAR S-matrices of some cepstral coefficients can be successfully used to discriminate between different animal species.

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Pop, G. P. (2017). Discriminate animal sounds using TESPAR analysis. In IFMBE Proceedings (Vol. 59, pp. 185–188). Springer Verlag. https://doi.org/10.1007/978-3-319-52875-5_41

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