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Smarter annotation strategies for bird detection models — new paper in JASA
A new TABMON paper published in the Journal of the Acoustical Society of America shows how to select the most valuable audio samples for annotation, drastically improving bird detection models under realistic passive acoustic monitoring conditions.
Jun 1, 2026
TABMON paper published in Methods in Ecology and Evolution
Our paper describing the design and deployment of TABMON — a transnational passive acoustic monitoring network for European birds — is now published in Methods in Ecology and Evolution.
Jan 8, 2026
Train bird classifier with less data
A new preprint describing a method to train AI classifiers using less data
Oct 15, 2025
Active Sampling for Data Efficient Large-Scale Bioacoustic Monitoring
How we use active learning in TABMON
Sep 30, 2025
Safe & Sound: toward a community standard for acoustic metadata
A quick look at the Safe & Sound effort to make bioacoustic datasets easier to share, validate, and reuse.
Sep 4, 2025