Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring

被引:85
作者
Mcloughlin, Michael P. [1 ]
Stewart, Rebecca [1 ]
McElligott, Alan G. [2 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, Ctr Digital Mus, Mile End Campus, London, England
[2] Univ Roehampton, Dept Life Sci, Ctr Res Ecol Evolut & Behav, London, England
基金
英国生物技术与生命科学研究理事会; “创新英国”项目;
关键词
animal behaviour; animal calls; ecoacoustics; machine learning; precision livestock farming; sound scene analysis; SOURCE-FILTER THEORY; CONTACT CALLS; FEATURE-EXTRACTION; DOMESTIC PIGLETS; VOCAL REPERTOIRE; FEATHER PECKING; GALLUS-GALLUS; DAIRY-CATTLE; OCEAN NOISE; VOCALIZATION;
D O I
10.1098/rsif.2019.0225
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Vocalizations carry emotional, physiological and individual information. This suggests that they may serve as potentially useful indicators for inferring animal welfare. At the same time, automated methods for analysing and classifying sound have developed rapidly, particularly in the fields of ecology, conservation and sound scene classification. These methods are already used to automatically classify animal vocalizations, for example, in identifying animal species and estimating numbers of individuals. Despite this potential, they have not yet found widespread application in animal welfare monitoring. In this review, we first discuss current trends in sound analysis for ecology, conservation and sound classification. Following this, we detail the vocalizations produced by three of the most important farm livestock species: chickens (Gallus gallus domesticus), pigs (Sus scrofa domesticus) and cattle (Bos taurus). Finally, we describe how these methods can be applied to monitor animal welfare with new potential for developing automated methods for large-scale farming.
引用
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页数:12
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