2010
DOI: 10.1016/j.jveb.2009.08.002
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Characterization of equine vocalization

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Cited by 23 publications
(18 citation statements)
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“…On the other hand, evidence suggests that low amplitude, low-frequency "purring" of domestic cats and other mammals may be indicators of positive affect (Kiley-Worthington, 1984;Fisher and Mathews, 2001;Peters, 2002). Recently, Pond et al (2010) demonstrated spectral differences between positive and negative quality vocalizations in the domestic horse using hidden Markov models. These studies show promise for the eventual detection and differentiation of affective states in animal vocalizations, but the clear distinction between changes in affect intensity and affect quality remains elusive, and no consistent acoustic pattern that distinguishes positive and negative affect has emerged.…”
Section: B Comparison To Humans and Other Mammalsmentioning
confidence: 99%
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“…On the other hand, evidence suggests that low amplitude, low-frequency "purring" of domestic cats and other mammals may be indicators of positive affect (Kiley-Worthington, 1984;Fisher and Mathews, 2001;Peters, 2002). Recently, Pond et al (2010) demonstrated spectral differences between positive and negative quality vocalizations in the domestic horse using hidden Markov models. These studies show promise for the eventual detection and differentiation of affective states in animal vocalizations, but the clear distinction between changes in affect intensity and affect quality remains elusive, and no consistent acoustic pattern that distinguishes positive and negative affect has emerged.…”
Section: B Comparison To Humans and Other Mammalsmentioning
confidence: 99%
“…Examples include an ultrasonic vocalization in rats produced during purported positive affective states such as during play and non-aggressive physical contact (Panksepp and Burgdorf, 2003), and antecedents of human laughter found in great apes (Davila Ross et al, 2009, 2010. In addition, Pond et al (2010) differentiated horse vocalizations produced in positive (feeding) and negative (social separation) contexts. Investigations that attempt to differentiate between positive and negative affect in animal vocalizations are of particular importance because analysis of vocalizations has been offered as a tool to measure the well-being of captive animals (e.g., Pond et al, 2010;Boissy et al, 2007;Schön et al, 2004;Manteuffel et al, 2004).…”
Section: Introductionmentioning
confidence: 99%
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“…Using a standard analysis technique (the Hidden Markov Model) to analyse the recorded vocalisations, researchers were able to differentiate between vocalisations made in positive and negative situations, such as feeding time and mare‐foal separation (Pond et al . ) ( Table ).…”
Section: Welfare Assessment Of An Individualmentioning
confidence: 99%
“…Among various vocalization types especially loud calls represent signals potentially encoding inter-species relationships in wild members and possibly among domestic breeds as well (Policht et al, 2011).The most pronounced loud call of horses is the whinny. This signal contains information about behavioural context, individual identity, social status, including body size (Kim et al, 2010;Lemasson et al, 2009;Pond et al, 2010;Proops et al, 2009), and therefore represents an ideal model signal to test this question.…”
Section: Introductionmentioning
confidence: 99%