Discerning pig screams in production environments.
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.
M3-BIORES-Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
J
J
Vandermeulen
M3-BIORES-Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
C
C
Bahr
Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, Milan, Italy.
E
E
Tullo
Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, Milan, Italy.
I
I
Fontana
Livestock-Nutrition-Quality, KU Leuven, Leuven, Belgium; Departement of Animal Nutrition, Genetics and Ethology, Laboratory for Ethology, Ghent university, Merelbeke, Belgium.
S
S
Ott
M3-BIORES-Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
M
M
Kashiha
Department of Health, Animal Science and Food Safety, Università degli Studi di Milano, Milan, Italy.
M
M
Guarino
Departement of Animal Nutrition, Genetics and Ethology, Laboratory for Ethology, Ghent university, Merelbeke, Belgium.
C P H
CP
Moons
Departement of Animal Nutrition, Genetics and Ethology, Laboratory for Ethology, Ghent university, Merelbeke, Belgium; Institute for Agricultural and Fisheries Research (ILVO), Animal Sciences Unit, Melle, Belgium.
F A M
FA
Tuyttens
Livestock-Nutrition-Quality, KU Leuven, Leuven, Belgium.
T A
TA
Niewold
M3-BIORES-Measure, Model & Manage Bioresponses, KU Leuven, Leuven, Belgium.
D
D
Berckmans
D000818:Animals; D019540:Area Under Curve; D012372:ROC Curve; D013312:Stress, Physiological; D013552:Swine; D013637:Tape Recording; D014828:Vocalization, Animal / Q000145:classification*