Ive been assisting at a wild bird rehab but not until I got pet birds (released pet birds that no owner could be found for) did I realize they make these extremely faint sounds to each other that I can sometimes just barely make out when I'm right next to them but are not the other quiet humming they make.

My mic can capture those sounds sometimes, but I don't know how to analyze for example 24h of recording in the cage to find slight variations to background noise. It doesn't have to be real-time and not bird specific (want to capture sounds they make that doesn't register as bird in the models).

If anyone has a suggestion please point me in any direction you know of. Audio is pretty new for me.

Then I started going through the Intro to Conservation Bioacoustics by Cornell course, and started watching Bioacoustic Talks by the K. Lisa Yang Center cornell center.

And now I am almost at the point where I cant start manually tagging audio sets, for target species so that I can train custom classifiers to identify birds in Rwanda which are poorly detected by birdnet.

TLDR: Being jobless can lead you into interesting ventures.

* Nyquist Theorem. https://www.youtube.com/watch?v=IZJQXlbm2dU

* Intro to Conservation Bioacoustics https://www.birds.cornell.edu/ccb/pam-materials

* Bioacoustic Talks https://www.youtube.com/@CornellSounds

There's also an excellent alternative to BirdNet-Pi that runs well on non-Raspberry-Pi machines: https://github.com/tphakala/birdnet-go

Did anyone come across projects that also nail that aspect well?

Unsure if that is a valid assumption, docs could improve here.