Google Developers
Check out https://g.co/aiexperiments to learn more.
Bird sounds vary widely. This experiment uses machine learning to organize thousands of bird sounds. The computer wasn’t given tags or the birds’ names – only the audio. Using a technique called t-SNE, the computer created this map, where similar sounds are placed closer together. http://g.co/aiexperiments
Built by Kyle McDonald, Manny Tan, Yotam Mann, and friends at Google Creative Lab. Thanks to Cornell Lab of Ornithology for their support. The sounds are available in the Macaulay Library’s Essential Set for North America. t-SNE animation featured in video by Gene Kogan.
More resources:
https://github.com/lvdmaaten/bhtsne
http://www.birds.cornell.edu
http://macaulaylibrary.org
http://ml4a.github.io
Source
Incredible and somehow inspiring. 🙂
this should be made for all animals. that would be cool!
Cool!
หนังเอก
Great project!
I like cheese
1 more week
morre week
This would be so nice to share with young learners
which languages are used for the implementation of all these experiments
Awesome and beautiful!!
in the future we should build a device that allows us to communicate with animals
i fé du brui le papiyon
super cool !
This is way more usefull for the creative industry like the movie and gaming industry, even the music industry..
Maybe machine learning can help us understand the language parrots speak to each other
Great!
Too advanced technology, but fails in a basic user agent evaluation. Recommends me to use Google Chrome even in Google Chrome latest version.
The same work with human voices
Watch out for bird's hunter who could use these results for bad reasons.
The procedure of how this project can be done is not shown … can u please guide the steps of implementation ??
Hi what is the bird that sound like pengpelep pengpelep