BirdNET Sound ID – The easiest way to identify birds by sound.
Try the BirdNET Sound ID App AI-Powered Bird Sound Recognition. ID birds by sound. Help science & conservation.
Bird Sound Samples – BirdNET Sound ID - Cornell University
The following samples of bird sounds are intended to illustrate the tremendous variety of bird vocalizations as part of my dissertation “Identifying Birds by Sound: Large-scale Acoustic Event Classification for Avian Activity Monitoring”.
Species List – BirdNET Sound ID - Cornell University
This is a demo page intended to demonstrate the joint efforts of the K. Lisa Yang Center for Conservation Bioacoustics at the Cornell Lab of Ornithology and the Chair of Media Informatics at Chemnitz University of Technology.
Contact: [email protected] - Cornell University
No data available. Please upload an audio file... (model version is V1.0) Contact: [email protected]. © 2024 Cornell University | Chemnitz University of Technology
About Us – BirdNET Sound ID - Cornell University
We would like you to join us and explore the possibilities of machine learning for bird song identification with these applications. If your’re interested in a collaboration, feel free to contact us.
Privacy Policy – BirdNET Sound ID - Cornell University
BirdNET is an artificial neural network that identifies bird species by sound. Our servers process small audio snippets recorded with the BirdNET app to detect and recognize bird sounds. We store all submitted recordings on our servers.
BirdNET LiveMap - Cornell University
This map shows anonymized BirdNET observations. Click on the markers to see more details. Hide