Can Artificial Intelligence Find a Way to Understand Animal Sounds?

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With artificial intelligence technologies, it is possible to analyze animal sounds such as roars, howls, and chirps, and recognize recurring patterns in these sounds to attempt to understand them.

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By 2025, significant progress is expected in understanding animal communication, following years of research by numerous groups on algorithms aimed at interpreting animal sounds.

Massive Data

Modern machine learning tools require vast amounts of high-quality data, which are currently limited.
The year 2025 is expected to bring significant advancements in both the volume of animal communication data available to scientists and the types and capabilities of AI algorithms applicable to these datasets.

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With the spread of low-cost recording devices, automatic recording of animal sounds has become accessible to all scientific research groups. Additionally, large datasets of animal sounds are now available online.

These devices can be placed in the field to monitor animal and bird calls in the forest 24/7 over extended periods.

Searching for Hidden Structures

A few years ago, it was impossible for humans to manually manage such massive datasets. Now, AI algorithms can analyze thousands of hours of recordings, extract animal sounds, and group them into different categories based on their natural acoustic characteristics.
By using deep neural networks in AI, it is possible to identify hidden structures in animal sound sequences, which may be similar to structures found in human language.

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A Human Language

Most scientists agree that animals do not have an actual language of their own, at least not in the way humans do.

However, with the help of AI, it is possible to improve our understanding of animal languages by collecting more data and developing learning models capable of deriving deeper connections between behaviors, sounds, and emotions.

Complete understanding of animal languages remains a distant goal due to the field’s immense complexity. Still, in the coming years, AI could analyze animal interactions with humans or among themselves in natural or controlled environments and translate these interactions into a language humans can comprehend.

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