The AI system is based on a technique the researchers called “Deep Emotional Analysis Learning,” which can adapt to changing vocal patterns.
The study found that the system was capable of translating “various emotional states in chickens, including hunger, fear, anger, contentment, excitement, and distress.”
The researchers tested the system on 80 chickens for the study and collaborated with a team of animal psychologists and veterinarians.
The system was able to achieve surprisingly high accuracy in identifying the birds’ emotional states, the study found.
“The high average probabilities of detection for each emotion suggest that our model has learned to capture meaningful patterns and features from the chicken sounds,” it said.
The researchers acknowledged potential limitations, including variations in breeds and the complexity of some communications, such as body language.
The original article contains 298 words, the summary contains 129 words. Saved 57%. I’m a bot and I’m open source!
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The AI system is based on a technique the researchers called “Deep Emotional Analysis Learning,” which can adapt to changing vocal patterns.
The study found that the system was capable of translating “various emotional states in chickens, including hunger, fear, anger, contentment, excitement, and distress.”
The researchers tested the system on 80 chickens for the study and collaborated with a team of animal psychologists and veterinarians.
The system was able to achieve surprisingly high accuracy in identifying the birds’ emotional states, the study found.
“The high average probabilities of detection for each emotion suggest that our model has learned to capture meaningful patterns and features from the chicken sounds,” it said.
The researchers acknowledged potential limitations, including variations in breeds and the complexity of some communications, such as body language.
The original article contains 298 words, the summary contains 129 words. Saved 57%. I’m a bot and I’m open source!