Published on November 15, 2016 by Google

Check out 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. 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:
github.com/lvdmaaten/bhtsne
www.birds.cornell.edu

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7 Comments on "A.I. Experiments: Bird Sounds"

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krraman666
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krraman666
8 months 7 days ago

This would be so nice to share with young learners

Bartosz Olszewski
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Bartosz Olszewski
8 months 25 days ago

I like cheese

Mr. R.A.
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Mr. R.A.
8 months 26 days ago

Great project!

pim 2558
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pim 2558
8 months 29 days ago

หนังเอก

607
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607
9 months 39 minutes ago

Cool!

mathew cheriyan
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mathew cheriyan
9 months 4 days ago

this should be made for all animals. that would be cool!

Tiger Tang (Tix)
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Tiger Tang (Tix)
9 months 5 days ago

Incredible and somehow inspiring. 🙂

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