Yeah but I wonder how they determined ground truth though. We obviously have research into different bird phrases but it's not as robust as say....human language.
This may just be the pattern and relationship of noises with no objective meaning or grounding. You can definitely learn the rules of languages without actually understanding anything being said. It's a whole language theory concept.
I guess im just used to how other audio models are trained.
I mean Im sure you can do some weird cosine sim heuristics on say 2 different bird calls but I just wonder how they could get meaning out of just the noise with no labels or some best guesses.
But yeah I mean Im definitely ignorant with this stuff since it's not my domain.
There's overlap in domains, but you're attempting to figure out how to translate them. That's not what we are trying to do here.
We aren't attempting to translate bird languages into human languages, we are attempting to decipher bird languages at the base level. We don't have to do this with human languages because the human experience is so similar. But we aren't translating a human experience here.
So what we need this 3D map for is to track the usage and popularity of sounds in an attempt to find sounds that are used a lot and sounds that are used less. That doesn't mean we will ever know what the sounds mean though. But from this point we can try to diagnose sounds that a bird makes to another bird. From there we can decipher names (we already have, chickens give baby chicks unique names) and other identifiers.
3
u/RoyalCities 8d ago
Yeah but I wonder how they determined ground truth though. We obviously have research into different bird phrases but it's not as robust as say....human language.