December 13, 2017 - Over the last five years, researchers from the University of Georgia University and Georgia Institute of Technology have been using machine learning technology to understand and analyze patterns in chicken speech.
Georgia Tech research engineer Wayne Daley and his colleagues studied the effects on six to 12 broiler chickens of moderately stressful conditions and recorded their vocalizations.
The conditions included increased ammonia levels in the air, minor infections and higher temperatures.
The resulting audio data was fed into an AI learning program that enabled it to learn the difference between contented and distressed birds through their vocalizations.
The scientists hope to use their findings to better inform farmers about the health and happiness of their poultry.
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AI decodes the nuances of chicken “speech”
How machine learning can translate chicken chatter and improve farming.
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