[3Xin2] Poster session 1

[3Xin2-59] Individual identification of cattle from vocalization considering intra-individual differences

〇Yua Nishio¹, Kazuya Tsubokura¹, Shusuke Kojima², Sei Sato², Makoto Morishita², Yurie Iribe¹ (1.Aichi Prefectural University, 2.Aichi Aguricultural Research Center)

Keywords:cattle, vocalization, individual identification, Precision Livestock Farming, intra-individual differences

Individual identification methods using ICT are required to reduce the workload of dairy farmers. Our research focuses on animal vocalizations as one of the resources useful for individual identification. In previous studies, the vocalizations during only hunger periods have been targeted. However, variations in acoustic information due to environmental and physiological differences may adversely affect individual identification. In this paper, we extract various kinds of acoustic information considering intra-individual differences of cattle and clear the acoustic differences in vocalizations between cattle states to identify individuals. As a result of the statistical tests, significant differences in acoustic information were observed between the hungry and estrus periods, revealing that cows exhibit acoustic variations depending on their states. We also conducted individual identification using i-vector and x-vector to account for such differences. The results showed that the x-vector achieved an accuracy of 92.4%. The x-vector demonstrated robustness, confirming its resilience to intra-individual differences.