Discerning pig screams in production environments

J Vandermeulen; C Bahr; E Tullo; I Fontana; S Ott; M Kashiha; M Guarino; C P H Moons; Frank Tuyttens; T A Niewold; D Berckmans

doi:10.1371/journal.pone.0123111

Discerning pig screams in production environments

J Vandermeulen, C Bahr, E Tullo, I Fontana, S Ott, M Kashiha, M Guarino, C P H Moons, Frank Tuyttens, T A Niewold, D Berckmans

Onderzoeksoutput: Bijdrage aan tijdschrift › A1: Web of Science-artikel › peer review

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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.

Oorspronkelijke taal	Engels
Tijdschrift	PloS one
Volume	10
Exemplaarnummer	4
Pagina's (van-tot)	e0123111
ISSN	1932-6203
DOI's	https://doi.org/10.1371/journal.pone.0123111
Publicatiestatus	Gepubliceerd - 2015

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title = "Discerning pig screams in production environments",

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.",

author = "J Vandermeulen and C Bahr and E Tullo and I Fontana and S Ott and M Kashiha and M Guarino and Moons, {C P H} and Frank Tuyttens and Niewold, {T A} and D Berckmans",

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T1 - Discerning pig screams in production environments

AU - Vandermeulen, J

AU - Bahr, C

AU - Tullo, E

AU - Fontana, I

AU - Ott, S

AU - Kashiha, M

AU - Guarino, M

AU - Moons, C P H

AU - Tuyttens, Frank

AU - Niewold, T A

AU - Berckmans, D

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

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DO - 10.1371/journal.pone.0123111

M3 - A1: Web of Science-article

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JO - PloS one

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Discerning pig screams in production environments

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