Das Paper Continental-scale behavioral response of birds to a total solar eclipse von David Mann, Austin Anderson, Amy Donner, Michael Hall, Stefan Kahl und Holger Klinck erscheint in der 15. Ausgabe von Scientific Reports. Abstract:Based on anecdotal evidence and research involving human observation and community science, radar analyses, and acoustical studies, birds are thought to […]
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Unsere Publikation Assessing spatial variability and efficacy of surrogate species at an ecosystem scale von Kristin Brunk, H. Kramer, M. Peery, Stefan Kahl und Connor Wood erscheint in der August-Ausgabe von Conservation Biology. Abstract: Preserving biodiversity is a central goal of conservation, but, in practice, monitoring biodi-versity often involves assessing population trends for one or
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Continuous Real-Time Acoustic Monitoring of endangered bird species in Hawai‘i erscheint in der 87. Ausgabe von Ecological Informatics. Abstract:The decline of endemic bird species in Hawai‘i requires innovative conservation measures enabled by passive acoustic monitoring (PAM). This paper describes a novel real-time PAM system used in the Pōhakuloa Training Area (PTA) to reduce wildlife collisions and minimize disruptions to
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Unser Paper BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics von Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde und Christoph Scholz wurde akzeptiert bei der International Conference on Learning Representations (ICLR) 2025. Abstract: Deep learning (DL) has greatly advanced audio classification, yet
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Our paper AudioProtoPNet: An interpretable deep learning model for bird sound classification by René Heinrich, Lukas Rauch, Bernhard Sick and Christoph Scholz is published in the 87th volume of Ecological Informatics. Abstract: Deep learning models have significantly advanced acoustic bird monitoring by recognizing numerous bird species based on their vocalizations. However, traditional deep learning models are
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We proudly announce that our work is featured in this year’s BWE wind industry report. The annual report published by the German Wind Energy Association presents the current development of the industry and promotes the work of forward-looking enterprises and innovative projects. DeepBirdDetect has been included in this year's selection
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BirdCLEF 2024 has started. Enter now and win! The LifeCLEF 2024 challenge hosted by the Conference and Labs of the Evaluation Forum (CLEF) is going into the next round. Every year, the international programming competition invites participants to take part in various challenges related to recording and monitoring the occurrence of animal, fungi, and plant species - including a challenge in the field of bird call recognition.
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Whether in the park, on a walk in the woods or in the garden at home - when spending time outdoors, we are often accompanied by a familiar sound: Birdsong. But who exactly is chirping in the tree above us? BirdNET has the answer. The application is a joint project of the Chair of Media Informatics at Chemnitz University of Technology and the Cornell Lab of Ornithology.
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