Machine learning reveals adaptive maternal responses to infant distress calls in wild chimpanzees

Abstract excerpt

Distress calls are an acoustically variable group of vocalizations ubiquitous in mammals and other animals. Their presumed function is to recruit help, but it is uncertain whether this is mediated by listeners extracting the nature of the disturbance from calls. To address this, we used machine learning to analyse distress calls produced by wild infant chimpanzees. It enabled us to classify calls and examine them...

Topics

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• Algorithms
• Auditory Perception
• Finches
• Hominidae
• Machine Learning
• Phenotype
• Social Behavior
• Vocalization, Animal

Identifiers and source

Literature Corpus work

8b68d1f8-a911-537c-ab61-65bfb92dff2c

DOI

10.1101/835827