Introducing 'BirdNET' that can identify the type of bird by analyzing the bark with AI on a smartphone or PC
When you take a walk, you often hear the birds singing, but even if you are wondering what kind of birds are there, it is very difficult to see them directly or to distinguish them from the singing alone. there is. Developed by Cornell Lab of Ornithology and Chemnitz University of Technology, ' BirdNET ' is an artificial neural network that can identify the type of bird by analyzing the recorded bird's bark, and the free application that can actually use BirdNET is iOS. Released on Android.
BirdNET – The easiest way to identify birds by sound.
BirdNET on the App Store
https://apps.apple.com/us/app/birdnet/id1541842885
BirdNET: Bird sound identification-Google Play app
https://play.google.com/store/apps/details?id=de.tu_chemnitz.mi.kahst.birdnet
BirdNET is a system for detecting and classifying bird calls using machine learning, and runs on various platforms such as smartphones, Raspberry Pi, web browsers, and cloud services. At the time of writing the article, it is possible to analyze 984 species of wild birds that can be generally observed in the United States and Europe, and more species and regions will be added in the future. You can check the list of wild birds that can be analyzed on the following page.
Species List – BirdNET
https://birdnet.cornell.edu/species-list/
You can see what it looks like when you actually use the BirdNET smartphone app in the following movie.
Identifying Bird Sounds with the BirdNET Mobile App-YouTube
With the smartphone app, instead of analyzing the recorded voice in real time on the smartphone, the recorded voice is uploaded to the server and then analyzed. If you specify a range from the spectrogram of the displayed audio ...
The name of the bird is displayed as the analysis result.
BirdNET can also distinguish and distinguish multiple bird calls from one voice.
If you tap the name of the displayed bird ...
Since the corresponding article on Wikipedia is displayed, you can find out what kind of bird it is on the spot.
You can also access the database.
You can check the appearance of the bird on the spot in the movie.
I was also able to check the detailed explanation of birds by the Cornell Lab of Ornithology.
You can also see a demonstration of BirdNET analyzing live-recorded audio at the following sites:
BirdNET-CLO Microphone Stream
https://birdnet.cornell.edu/live/
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