Identification of Animal Species from Their Sounds

被引:1
|
作者
Pop, Gavril-Petre [1 ]
机构
[1] Tech Univ Cluj Napoca, Dept Commun, G Baritiu 26-28, Cluj Napoca, Romania
关键词
Animal species identification; Cepstral coefficients; TESPAR analysis; Teager energy operator; Machine learning;
D O I
10.1007/978-981-13-6207-1_21
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
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页码:133 / 137
页数:5
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