"How can computers learn to recognize birds from sounds? The Cornell Lab of Ornithology and the Chemnitz University of Technology are trying to find an answer to this question. Our research is mainly focused on the detection and classification of avian sounds using machine learning – we want to assist experts and citizen scientist in their work of monitoring and protecting our birds. This page features some of our public demonstrations, including a live stream demo, a demo for the analysis of audio recordings, an Android app and its visualization of submissions. All demos are based on an artificial neural network we call BirdNET. We are constantly improving the features and performance of our demos – please make sure to check back with us regularly. We are currently featuring 984 of the most common species of North America and Europe. We will add more species and more regions in the near future. Click here for the list of supported species. ..."
2008 September: Birds, 2008 June: Bird Songs, 2017 April: Of a Feather, 2017 June: Bird Sounds, 2017 July: Beautifully Designed Tiny Houses... For Birds, 2019 September: The Crisis for Birds Is a Crisis for Us All, 2019 March: She Invented a Board Game With Scientific Integrity. It’s Taking Off., 2019 June: Where Birds Meet Art . . . After Dark, 2019 September: The Crisis for Birds Is a Crisis for Us All, 2019 October: A Quest to Protect the World's Last Silent Places, 2020 June: Making a Garden That Welcomes the Birds, 2020 July: New Bird Song That ‘Went Viral’ Across This Species of Sparrow Was Tracked by Scientists For the First Time, 2020 August: How to Use Binoculars - Jason Ward, 2020 October: Get the Birds To Come To You
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