This approach, presented at the Joint International Conference on Computational Linguistics, shows that existing AI models can be used to decipher animal communication.
Using a dataset of vocalizations from 74 dogs, the team modified the Wav2Vec2 human speech model to interpret dog barks. The results were promising: The AI model achieved an accuracy rate of up to 70%, outperforming other models trained specifically on dog data.
Scientists say this breakthrough will not only help biologists and animal behaviorists, but will also have practical implications for improving the care and safety of dogs.
Source: Ferra
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