カテゴリ: 論文誌(論文単位)グループ名: 【C】電子・情報・システム部門発行日: 2024/12/01タイトル(英語): Identification of Individual Cattle Using Vocalization Despite Intra-individual Variation in Acoustic Features著者名: 西尾 優亜（愛知県立大学），坪倉 和哉（愛知県立大学），小島 秀介（愛知県農業総合試験場），佐藤 精（愛知県農業総合試験場），森下 忠（愛知県農業総合試験場），入部 百合絵（愛知県立大学）著者名(英語): Yua Nishio (Aichi Prefectural University), Kazuya Tsubokura (Aichi Prefectural University), Shusuke Kojima (Aichi Agricultural Research Center), Sei Sato (Aichi Agricultural Research Center), Makoto Morishita (Aichi Agricultural Research Center), Yurie Iribe (Aichi Prefectural University)キーワード: 牛，鳴き声，個体照合，スマート畜産，個体内変動 cattle，vocalization，individual identification，precision livestock farming，intra-individual variation要約(英語): 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 92.2%. The x-vector demonstrated robustness, confirming its resilience to intra-individual differences.本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.144 No.12 （2024） 特集：電気・電子・情報関係学会東海支部連合大会本誌掲載ページ: 1153-1161 p原稿種別: 論文／日本語電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/144/12/144_1153/_article/-char/ja/
