Source: Verdict
Researchers at the University of Michigan have developed an AI tool to decode dog barks and bridge the communication gap between humans and dogs. By creating a database of sounds from 74 dogs in various situations, they trained a machine learning model, Wav2Vec2, to interpret canine moods with 70% accuracy, identifying context, breed, age, and sex.
This technology, which can distinguish between playful and aggressive barks, aims to help pet owners better understand and meet their dogs’ needs, potentially reducing behavioral issues and enhancing the human-animal bond. The pet tech market, including health-monitoring smart collars and AI-driven pet care solutions, is rapidly growing, though experts caution against replacing human interaction with technology.
Read the full story HERE: https://www.verdict.co.uk/ai-dog-bark-translators/