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Researchers use AI to analyze dog sounds, aiming to translate barks into human-understandable words based on context.
Researchers at the University of Texas at Arlington, led by computer science professor Zhu, are using artificial intelligence to analyze dog vocalizations, aiming to translate barks and whines into human-understandable words by identifying patterns linked to specific contexts like "cat" or "leash."
The project, inspired by whale communication research, examines hundreds of hours of audio and video, noting variations by breed and age, and explores potential health monitoring through vocal changes.
Similar efforts are underway at the University of Michigan and Virginia Tech, while AI-powered pet devices claim to interpret animal sounds.
The work extends to cats and cattle, with the goal of improving animal well-being assessment through communication analysis.
Los investigadores utilizan la IA para analizar los sonidos de los perros, con el objetivo de traducir los ladridos en palabras comprensibles para el ser humano en función del contexto.