AVN: A Deep Learning Approach for the Analysis of Birdsong.

ABSTRACT: Deep learning tools for behavior analysis have enabled important new insights and discoveries in neuroscience. Yet, they often compromise interpretability and generalizability for performance, making it difficult to quantitively compare phenotypes across datasets and research groups. We developed a novel deep learning-based behavior analysis pipeline, Avian Vocalization Network (AVN), for the learned vocalizations of the most extensively studied vocal learning model species - the zebra finch. AVN annotates songs with high accuracy across multiple animal colonies without the need for any additional training data and generates a comprehensive set of interpretable features to describe the syntax, timing, and acoustic properties of song. We use this feature set to compare song phenotype

SUBMITTER: Koch TMI 

PROVIDER: S-EPMC11370480 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature