As our interaction with the living things around us becomes more and more important, analyzing the emotions and behaviors of living things now plays a critical role. In this regard, Japanese researchers benefit from the benefits of artificial intelligence.
Japanese researchers developed a new artificial intelligence model to translate the clucking sounds of ‘Gallinaceus’ birds and find out what they mean. Thanks to this model, it can be learned whether the chickens and roosters are excited, hungry or angry.
Researchers use the Deep Emotional Analysis Learning method.
A team of various researchers, led by Tokyo University professor Adrian David Cheok, launched an artificial intelligence-supported study. With the ‘Deep Emotional Analysis Learning’ method, researchers can decipher various emotional states of chickens and roosters, such as hunger and excitement, fear and anger.
The main purpose of this study is to enable detailed recognition of emotional states through auditory data using the Deep Emotional Analysis Learning (DEAL) technique.
For this study, the researchers tested the system on 80 chickens. In order for the artificial intelligence model to work more functionally, 100 hours of sound recordings of chickens and roosters were used. Eight animal psychologists and several veterinarians collaborated with researchers on this study.
With this experiment, researchers aim to shed light not only on our relationship with poultry, but also on our communication with other living species.
As a result of the studies, it was revealed that the system could achieve surprisingly high accuracy in determining the emotional states of poultry. The fact that each voice indicates a different emotional state shows that the model they developed captures meaningful sound waves from the voices.
Voices are not only interpreted emotionally, but also pave the way for situations such as interpreting behavior and giving meaning to movements. The study has not yet been peer-reviewed, but the very existence of such a study reveals how much our interaction with living things will improve in the future.
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