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Discnerning pig screams in production environments

(2015) PLOS ONE. 10(4).
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Abstract
Pig vocalisations convey information about their current state of health and welfare. Continuously monitoring these vocalisations can provide useful information for the farmer. For instance, pig screams can indicate stressful situations. When monitoring screams, other sounds can interfere with scream detection. Therefore, identifying screams from other sounds is essential. The objective of this study was to understand which sound features define a scream. Therefore, a method to detect screams based on sound features with physical meaning and explicit rules was developed. To achieve this, 7 hours of labelled data from 24 pigs was used. The developed detection method attained 72% sensitivity, 91% specificity and 83% precision. As a result, the detection method showed that screams contain the following features discerning them from other sounds: a formant structure, adequate power, high frequency content, sufficient variability and duration.
Keywords
RESPONSES, WELFARE, STRESS, VOCALIZATION, PIGLETS, COUGH SOUND, VOCAL QUALITY, SOUND ANALYSIS, DOMESTIC PIGS, SUS-SCROFA

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Please use this url to cite or link to this publication:

Chicago
Vandermeulen, Joris, Claudia Bahr, Emanuela Tullo, I Fontana, Sanne Ott, Mohammed Kashiha, Marcella Guarino, et al. 2015. “Discnerning Pig Screams in Production Environments.” Plos One 10 (4).
APA
Vandermeulen, Joris, Bahr, C., Tullo, E., Fontana, I., Ott, S., Kashiha, M., Guarino, M., et al. (2015). Discnerning pig screams in production environments. PLOS ONE, 10(4).
Vancouver
1.
Vandermeulen J, Bahr C, Tullo E, Fontana I, Ott S, Kashiha M, et al. Discnerning pig screams in production environments. PLOS ONE. 2015;10(4).
MLA
Vandermeulen, Joris et al. “Discnerning Pig Screams in Production Environments.” PLOS ONE 10.4 (2015): n. pag. Print.
@article{5967905,
  abstract     = {Pig vocalisations convey information about their current state of health and welfare. Continuously monitoring these vocalisations can provide useful information for the farmer. For instance, pig screams can indicate stressful situations. When monitoring screams, other sounds can interfere with scream detection. Therefore, identifying screams from other sounds is essential. The objective of this study was to understand which sound features define a scream. Therefore, a method to detect screams based on sound features with physical meaning and explicit rules was developed. To achieve this, 7 hours of labelled data from 24 pigs was used. The developed detection method attained 72\% sensitivity, 91\% specificity and 83\% precision. As a result, the detection method showed that screams contain the following features discerning them from other sounds: a formant structure, adequate power, high frequency content, sufficient variability and duration.},
  articleno    = {e0123111},
  author       = {Vandermeulen, Joris and Bahr, Claudia and Tullo, Emanuela and Fontana, I and Ott, Sanne and Kashiha, Mohammed and Guarino, Marcella and Moons, Christel and Tuyttens, Frank and Niewold, Theo and Berckmans, Daniel},
  issn         = {1932-6203},
  journal      = {PLOS ONE},
  language     = {eng},
  number       = {4},
  pages        = {15},
  title        = {Discnerning pig screams in production environments},
  url          = {http://dx.doi.org/10.1371/journal.pone.0123111},
  volume       = {10},
  year         = {2015},
}

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