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Can a gray seal (Halichoerus grypus) generalize call classes?

Amanda L Stansbury1, Mafalda de Freitas1, Gi-Mick Wu1

  • 1Sea Mammal Research Unit, School of Biology, University of St. Andrews.

Journal of Comparative Psychology (Washington, D.C. : 1983)
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Gray seals can learn to classify vocalizations like "growls" and "moans" into distinct categories. This study shows seals can generalize and identify call types and even caller identity using acoustic cues.

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Area of Science:

  • Marine Biology
  • Animal Communication
  • Bioacoustics

Background:

  • Previous research indicated gray seals could classify known vocal signals but struggled with novel ones.
  • Auditory categorization is crucial for animal communication, making generalization abilities important to study.

Purpose of the Study:

  • To train a juvenile gray seal to discriminate between "growls" and "moans" using vocal matching.
  • To investigate the seal's ability to generalize acoustic categorization to novel call exemplars.
  • To identify acoustic parameters distinguishing call types and individual seals.

Main Methods:

  • A juvenile gray seal was trained to vocally match novel calls into "growls" and "moans" categories.
  • A large set of exemplars with standardized durations, including the seal's own calls and those of two others, was used for training.
  • Generalized linear models (GLM) and Factor Analysis for Mixed Data (FAMD) were employed for performance and acoustic analysis.

Main Results:

  • The seal successfully discriminated growls and moans for both her own (94% correct) and other seals' calls (87% correct).
  • Performance improved across sessions, with higher accuracy for initial exposures to familiar calls.
  • Acoustic analysis revealed that noise, duration, and frequency differentiated call types, while frequency alone distinguished individuals.

Conclusions:

  • Gray seals demonstrate the ability to generalize auditory categorization to novel vocalizations.
  • Seals can discriminate between call types and potentially identify individual callers using acoustic cues, particularly frequency.