Under the hood, Sound ID is a great example of how "domain-expert-driven" careful research can give more reliable results than just feeding in data and hoping for the best.
Under the hood, Sound ID is a great example of how "domain-expert-driven" careful research can give more reliable results than just feeding in data and hoping for the best.
Consistently assigning names to different blackbirds might be tricky, but, for other birds, I am sure that some AI algorithm could do this.
We had a brown thrasher stringing together a long series of mimicked calls that got labeled correctly as a brown thrasher.
I don’t even know how you’d approach the ML for that seeing how unique each song is to each bird
The waveform was too thick and looked funky which is why I tracked down the bird doing it. (I Was at the Ohio bird sanctuary)
Please Let your friends know that roosters are birds too and deserve their recognition as the world's wake up call! Lol
https://birdnet.cornell.edu/api/
Merlin is trained on the same source as BirdNet.
You can also use the iNaturalist API for visual ids, for what it's worth.
The iOS app did seem to lock up when trying to download the region packs though. I should find out where to file a bug!