AI Study Discovers 8 Basic Birdsong Patterns After Analysing 3,000 Bird Species
8 Articles
8 Articles
French biologists have identified the basic trills and whistles used by the passerines. Their extensive study fed by participatory science shows that all of these melodies are composed of modulations of eight patterns.
Researchers used AI to study more than 116,000 birdsong recordings from over 3,000 species and discovered that despite their huge variety, birdsongs across the world are built from only eight basic acoustic building blocks
Scientists have identified eight common sound patterns that form the basis of birdsong after analysing more than 116,000 recordings from 3,160 songbird species worldwide. The study found that birds living in different habitats sing differently because forests, open landscapes and the way sound travels influence which songs work best, alongside evolution.
An extensive international study analyzed 116,000 bird songs, half of the world's songbird species. Through artificial intelligence, researchers identified eight classes of simple, universal sounds, which form the basis of all bird songs.
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