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41 pointsby fdbtoday at 6:13 AM5 commentsview on HN

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kipropingtoday at 9:33 AM

I wanted to do something similar to this, then I started doing some research on birds in general, and those in my locality, then I started learning about Audio and spectograms and Nyquist Theorem and many other interesting audio stuff.

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

show 1 reply
bartmantoday at 8:39 AM

I'm enjoying tracking the local wildlife with my bird listening station.

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

show 1 reply
cyclopeanutopiatoday at 9:13 AM

Wholesome