BirdNET

How can computers learn to recognize birds from sounds? The BirdNET research project uses artificial intelligence neural networks to train computers to identify nearly 1,000 of the most common species of North America and Europe. Help us test this prototype app by recording a file using the internal microphone of your Android device and seeing if BirdNET correctly identifies the probable bird species present in your recording.

Please note: Response time is affected by the need to transfer the audio recordings to our servers in order to process the files. Recording quality may affect results, and will vary depending on your device. External microphones will probably increase the recording quality.

BirdNET is a joint project of the Cornell Lab of Ornithology and Chemnitz University of Technology.

计算机如何学会从声音中识别鸟类？ BirdNET的研究项目使用人工智能神经网络来训练计算机，以识别近1,000种北美和欧洲最常见的物种。通过使用Android设备的内置麦克风录制文件并查看BirdNET是否正确识别录制中可能存在的鸟类来帮助我们测试该原型应用。

请注意：响应时间受将音频传输到我们的服务器以处理文件的需要所影响。录制质量可能会影响结果，并且会因设备而异。外接麦克风可能会提高录音质量。

BirdNET是康奈尔大学鸟类学实验室和开姆尼茨工业大学的联合项目。