Emmanuel Chemla

BirdCODE detects and classifies bird vocalizations from large audio datasets, enabling large-scale studies of bird communication with improved temporal resolution and species coverage.

The paper maps vocal repertoires to social behaviors in cooperative crows using machine learning and audio-visual data.

This study uses an AI model to analyze zebra finch vocal interactions and identifies key features of their communication rules.