A.I. Experiments: Bird Sounds
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
Original owner: Google Developers
Beto Garcia
Telecom consultant & sales engineer, Blogger contributor @Cisco & @TiTiApps. Mobile Apps business initiator. Experienced Engineer with more than 10 years on Service Providers Networks.
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