Scientists develop an algorithm that translates dog barking, opening a new path to understanding the millions of pets in the world.
There are millions of dogs in the world, each one with a unique personality. Some breeds, such as golden retriever, are perfect for families, while others, like the Pugare better suited to apartment life. Today, thanks to the technologyknowing your emotions is possible through an innovative algorithm.
This technological development, promoted by scientists from the University of Michigan, It allows dogs’ barking to be translated, which opens a new door in the relationship between humans and pets. Now, in addition to knowing their gestures and behaviors, it is possible to interpret their emotions more accurately.
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What is the new algorithm that translates dog barking all about?
The University of Michigan, known for its important advances in various scientific fields, was the scene of the creation of an algorithm that seeks to translate dog barking. Among the scientists involved, names such as Dr. Michael Andrews and Dr. Susan Mileswho led the research team. This development is a clear example of how the artificial intelligence It can be applied to different areas, even to better understand animals.
The main objective of this invention is to ensure that humans can understand the emotions of dogs through their barking. Using artificial intelligence, the researchers trained the algorithm with sounds emitted by different breeds of dogs, in situations designed to provoke various emotions. So, The system can identify if a dog is happy, scared or sad, although it is still far from translating specific words.
One of the most surprising aspects of this advance is how artificial intelligence was pre-trained using human conversations. This allowed the system to identify patterns of emotion in dog sounds, based on previous experiences of human interaction. On this basis, the algorithm reached a 62.2% success rate when interpreting barking, and even went so far as to 90% in certain specific situations.
The operation of the algorithm is based on a detailed analysis of the dog’s vocalizations, comparing them with pre-training data. Among its main characteristics is the ability to differentiate between 14 types of sounds, such as growls, howls or moans, associated with positive, negative or neutral emotions. Furthermore, the algorithm not only translates emotions, but can also identify the breed of the dog with an accuracy of 75%, which adds another interesting dimension to the study.
This invention represents a significant advance in the field of animal welfare, as it will allow pet owners to better understand their dogs and meet their emotional needs more appropriately. Caring for animals is a key responsibility in modern society, and tools like this could mark a before and after in the relationship between humans and dogs, further strengthening that special bond.
Source: Ambito
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