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Researchers Claim to Identify Word-Like Patterns in Dog Barks

UT Arlington leads AI research to translate dog vocalizations into human speech, building the largest canine sound catalog with 50 hours of transcribed barks, aiming to improve animal welfare.

  • Researchers at the University of Texas at Arlington aim to translate dog sounds into speech using artificial intelligence.
  • Kenny Zhu's team has created the largest catalog of canine vocalizations and has identified words such as cat, cage, and leash from 50 hours of recorded barks.
  • The study notes that while dogs can link sounds to meanings, they may not have an evolutionary reason to develop speech.
  • The BARKS Lab in Hungary examines whether dogs can talk and the social reasons behind their communication behaviors.
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CBS News broke the news in United States on Friday, June 7, 2024.
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