BEATs for audio classification from Microsoft applied to bird sounds. The project uses PyTorch Lightning to leverage training through YAML configuration files.
This project utilizes Microsoft's BEATs model for audio classification and applies it specifically to bird sounds. BEATs is a powerful tool for the recognition and classification of bird vocalizations, making it ideal for researchers and enthusiasts in the field of ornithology and bioacoustics.
Birdsong analysis plays a crucial role in understanding avian behavior and biodiversity. This project builds upon Microsoft's BEATs to provide a specialized solution for classifying bird sounds. Researchers and bird enthusiasts can benefit from its ease of use, adaptability, and accuracy in identifying bird vocalizations.