Literature DB >> 31213168

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

Michael P Mcloughlin1, Rebecca Stewart1, Alan G McElligott2.   

Abstract

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.

Entities:  

Keywords:  animal behaviour; animal calls; ecoacoustics; machine learning; precision livestock farming; sound scene analysis

Mesh:

Year:  2019        PMID: 31213168      PMCID: PMC6597774          DOI: 10.1098/rsif.2019.0225

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  59 in total

Review 1.  Assessment of positive welfare: a review.

Authors:  J W Yeates; D C J Main
Journal:  Vet J       Date:  2007-07-05       Impact factor: 2.688

2.  Vocalisations and acoustic parameters of flock noise from feather pecking and non-feather pecking laying flocks.

Authors:  A Bright
Journal:  Br Poult Sci       Date:  2008-05       Impact factor: 2.095

3.  Real-time airflow rate measurements from mechanically ventilated animal buildings.

Authors:  Steven J Hoff; Dwaine S Bundy; Minda A Nelson; Brian C Zelle; Larry D Jacobson; Albert J Heber; Jiqin Ni; Yuanhui Zhang; Jacek A Koziel; David B Beasley
Journal:  J Air Waste Manag Assoc       Date:  2009-06       Impact factor: 2.235

Review 4.  Animal welfare: at the interface between science and society.

Authors:  F Ohl; F J van der Staay
Journal:  Vet J       Date:  2011-06-23       Impact factor: 2.688

5.  Welfare of organic laying hens kept at different indoor stocking densities in a multi-tier aviary system. I: egg laying, and use of veranda and outdoor area.

Authors:  S Steenfeldt; B L Nielsen
Journal:  Animal       Date:  2015-05-20       Impact factor: 3.240

6.  Reduced stocking density mitigates the negative effects of regrouping in dairy cattle.

Authors:  A Talebi; M A G von Keyserlingk; E Telezhenko; D M Weary
Journal:  J Dairy Sci       Date:  2014-01-11       Impact factor: 4.034

7.  Risk mapping for sensitive species to underwater anthropogenic sound emissions: model development and validation in two Mediterranean areas.

Authors:  A Azzellino; C Lanfredi; A D'Amico; G Pavan; M Podestà; J Haun
Journal:  Mar Pollut Bull       Date:  2011-02-24       Impact factor: 5.553

8.  The effects of environmental enrichment in the chick anxiety-depression model.

Authors:  Eun Ha Kim; Kenneth J Sufka
Journal:  Behav Brain Res       Date:  2011-03-21       Impact factor: 3.332

9.  Updating Animal Welfare Thinking: Moving beyond the "Five Freedoms" towards "A Life Worth Living".

Authors:  David J Mellor
Journal:  Animals (Basel)       Date:  2016-03-14       Impact factor: 2.752

10.  Bat detective-Deep learning tools for bat acoustic signal detection.

Authors:  Oisin Mac Aodha; Rory Gibb; Kate E Barlow; Ella Browning; Michael Firman; Robin Freeman; Briana Harder; Libby Kinsey; Gary R Mead; Stuart E Newson; Ivan Pandourski; Stuart Parsons; Jon Russ; Abigel Szodoray-Paradi; Farkas Szodoray-Paradi; Elena Tilova; Mark Girolami; Gabriel Brostow; Kate E Jones
Journal:  PLoS Comput Biol       Date:  2018-03-08       Impact factor: 4.475

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  9 in total

1.  Automated identification of chicken distress vocalizations using deep learning models.

Authors:  Axiu Mao; Claire S E Giraudet; Kai Liu; Inês De Almeida Nolasco; Zhiqin Xie; Zhixun Xie; Yue Gao; James Theobald; Devaki Bhatta; Rebecca Stewart; Alan G McElligott
Journal:  J R Soc Interface       Date:  2022-06-29       Impact factor: 4.293

Review 2.  From Soundwave to Soundscape: A Guide to Acoustic Research in Captive Animal Environments.

Authors:  Fay E Clark; Jacob C Dunn
Journal:  Front Vet Sci       Date:  2022-06-16

3.  Sound Analysis to Predict the Growth of Turkeys.

Authors:  El-Sayed M Abdel-Kafy; Samya E Ibraheim; Alberto Finzi; Sabbah F Youssef; Fatma M Behiry; Giorgio Provolo
Journal:  Animals (Basel)       Date:  2020-05-17       Impact factor: 2.752

4.  Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering.

Authors:  Dae-Hyun Jung; Na Yeon Kim; Sang Ho Moon; Changho Jhin; Hak-Jin Kim; Jung-Seok Yang; Hyoung Seok Kim; Taek Sung Lee; Ju Young Lee; Soo Hyun Park
Journal:  Animals (Basel)       Date:  2021-02-01       Impact factor: 2.752

5.  Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.

Authors:  Daniel Romero-Mujalli; Tjard Bergmann; Axel Zimmermann; Marina Scheumann
Journal:  Sci Rep       Date:  2021-12-27       Impact factor: 4.379

6.  Classification of pig calls produced from birth to slaughter according to their emotional valence and context of production.

Authors:  Elodie F Briefer; Ciara C-R Sypherd; Pavel Linhart; Lisette M C Leliveld; Monica Padilla de la Torre; Eva R Read; Carole Guérin; Véronique Deiss; Chloé Monestier; Jeppe H Rasmussen; Marek Špinka; Sandra Düpjan; Alain Boissy; Andrew M Janczak; Edna Hillmann; Céline Tallet
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.379

7.  Introducing the Software CASE (Cluster and Analyze Sound Events) by Comparing Different Clustering Methods and Audio Transformation Techniques Using Animal Vocalizations.

Authors:  Sebastian Schneider; Kurt Hammerschmidt; Paul Wilhelm Dierkes
Journal:  Animals (Basel)       Date:  2022-08-10       Impact factor: 3.231

8.  Spectral entropy of early-life distress calls as an iceberg indicator of chicken welfare.

Authors:  Katherine A Herborn; Alan G McElligott; Malcolm A Mitchell; Victoria Sandilands; Brett Bradshaw; Lucy Asher
Journal:  J R Soc Interface       Date:  2020-06-10       Impact factor: 4.118

Review 9.  Affective State Recognition in Livestock-Artificial Intelligence Approaches.

Authors:  Suresh Neethirajan
Journal:  Animals (Basel)       Date:  2022-03-17       Impact factor: 3.231

  9 in total

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