3 posts tagged with machine.
Displaying 1 through 3 of 3. Subscribe:
Birdsong Audio Separation
We made some cool new machine learning models for separating birdsong in soundscape recordings, and demonstrated how to use the separated audio to improve downstream classification. The separation model is available on github, where we've also got lots more examples. There's also a paper.
Kaggle Birdcall Identification Competition
We just launched a machine learning competition for bird identification in soundscapes! This is a surprisingly difficult problem, which can ultimately help with ecosystem health monitoring (for example, if birds X, Y, Z are present, you can make inferences about their food and predators). I've been building models in this space for a couple of years, working with both the Cornell Lab of Ornithology and Cal Academy of Sciences in my spare time. I'm excited to see what sort of ideas we get from the larger community!
I trained an A.I. to Ask Metafilter...
Last time, I trained an LSTM neural network to generate British placenames. This time, I trained one on Ask Metafilter questions to see if the questions it generated might tell us anything about humanity. (Spoilers: yes, of course it did). [more inside]