Bird Audio Detection challenge

Detecting bird sounds in audio is an important task for automatic wildlife monitoring, as well as in citizen science and audio library management. The current generation of software tools require manual work from the user: to choose the algorithm, to set the settings, and to post-process the results. This is holding bioacoustics back in embracing its "big data" era: let's make this better! In collaboration with the IEEE Signal Processing Society we propose a research data challenge for you to create a robust and scalable bird detection algorithm. We offer new datasets collected in real live bioacoustics monitoring projects, and an objective, standardised evaluation framework – and prizes for the strongest submissions.