arXiv · 1804.07177
Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System
Abstract
Reliable identification of bird species in recorded audio files would be a transformative tool for researchers, conservation biologists, and birders. In recent years, artificial neural networks have greatly improved the detection quality of machine learning systems for bird species recognition. We present a baseline system using convolutional neural networks. We publish our code base as reference for participants in the 2018 LifeCLEF bird identification task and discuss our experiments and potential improvements.
Explore related subjects
Keep this discovery
Stefan Kahl, Thomas Wilhelm-Stein, Holger Klinck, Danny Kowerko, Maximilian Eibl. 2018-04-19. Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System. https://arxiv.org/abs/1804.07177
Cite the original work for its findings. Save a collection to share your selection of sources.