By using speech processing models initially trained on human speech, our research opens a new window into how we can leverage what we built so far in speech processing to start understanding the nuances of dog barks, said Rada Mihalcea, director of U-M's AI laboratory said of the dogs AI study.
There is so much we don't yet know about the animals that share this world with us. Advances in AI can be used to revolutionize our understanding of animal communication, and our findings suggest that we may not have to start from scratch, said Mihalcea.
Animal vocalizations are logistically much harder to solicit and record. They must be passively recorded in the wild or, in the case of domestic pets, with the permission of owners, explained Artem Abzaliev.
The AI models originally trained on human speech proved to be an effective starting point for developing systems to understand animal communication. This breakthrough suggests that existing speech-processing models can be adapted to decode the complex vocal patterns of dogs.
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