AI Breakthrough Decodes Emotional Nuances in Dog Barks

University of Michigan researchers use human speech models to identify dogs' emotions, breeds, and genders with promising accuracy.

AI models trained on human speech can identify a dog's emotion, breed, and gender with up to 70% accuracy.
The study involved vocalizations from 74 dogs of various breeds, ages, and sexes.
Researchers found that AI models pre-trained on human speech outperformed those trained solely on dog barks.
This research could improve human understanding and response to dogs' emotional and physical needs.
The findings were presented at an international conference and involve collaboration with Mexico’s National Institute of Astrophysics.