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Kaunas University of Technology researcher uses AI to study animal communication
Professor Ryčio Maskeliūnas of Kaunas University of Technology is exploring how artificial intelligence can be used to decode animal communication. While AI is currently capable of analyzing vast amounts of animal sounds to identify patterns invisible to the human ear, Maskeliūnas notes that fully translating animal language remains a distant objective.
To move beyond simple pattern recognition, researchers emphasize that sound analysis must be integrated with behavioral observations and controlled experiments. This approach aims to determine if detected patterns hold specific communicative meaning rather than just reflecting emotional states.
In previous studies, researchers analyzed the vocalizations of German Spitz dogs to identify emotional indicators. By breaking down sounds into frequency and time components, they sought to categorize states such as joy, anger, crying, and loneliness.
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- [● 3 SOURCES] AI can analyze thousands of animal sounds to detect patterns invisible to humans. mokslolietuva.lt · gargzdai.lt · ktu.edu
- [● 3 SOURCES] Deciphering actual animal language remains a distant goal despite current AI capabilities. mokslolietuva.lt · gargzdai.lt · ktu.edu
- [● 3 SOURCES] Sound analysis must be combined with behavioral observations and controlled experiments to verify communicative meaning. mokslolietuva.lt · gargzdai.lt · ktu.edu
- [● 3 SOURCES] The study analyzed four emotional states: joy, anger, crying, and loneliness. mokslolietuva.lt · gargzdai.lt · ktu.edu
- [● 3 SOURCES] Previous research used vocalization recordings from German Spitz dogs to analyze emotional states. mokslolietuva.lt · gargzdai.lt · ktu.edu