Machine Learning for the Birds: Building Your Own Bird Vocalization Classifier

The BirdCLEF+ 2025 competition challenges users to design a classification model that can accurately predict the species of bird from an audio recording. This guide details an approach to build your own bird vocalization classifier that can be used in conjunction with the GBV classifier to classify a wider selection of bird species. The approach employs the same basic techniques described in the Google Research article Separating Birdsong in the Wild for Classification.