Thousands of bird sounds visualized using Google machine learning(aiexperiments.withgoogle.com) |
Thousands of bird sounds visualized using Google machine learning(aiexperiments.withgoogle.com) |
Would be interesting to do some kind of ML on how best to present hugely multidimensional spaces onto two _interactive_ dimensions. Where one AI is deciding how things are projected and how it can be manipulated, and another AI is limited to some virtual "mouse, keyboard, 2D screen" to make inferences. Such that it's optimized for faster, more correct inferences.
The tiny images are just spectograms/fft as far as I can tell.
edit: it's very fun though to click+drag, haha
Though personally (jk) i was slightly disappointed when i zoomed out i didn't see a big bird (or other bird) likeness.
Does anyone know what they are doing t-SNE on? i.e. are they just doing t-SNE on the raw waveforms? Or the MFCC spectrogram? Or what?
It has the most unique call of them all.
> Oops, sorry for the tech trouble. For the best experience, view in Chrome browser.
But then, I block some stuff: ads, WebGL, WebRTC, and tracking.
[1] http://www.smithsonianmag.com/smart-news/google-digitizes-30...