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Researchers from the University of Michigan are developing AI tools to analyze dog barks and understand the nuances of their communication, such as playfulness or aggression.
By repurposing a human speech model, the team achieved accuracy figures of up to 70 percent in classifying dog vocalizations.
This approach could revolutionize our understanding of animal communication and leverage existing AI advancements.
The study was presented at a conference on computational linguistics and language resources, showcasing the potential of using AI to decode animal sounds.
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