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Stilly River Sage Google Machine Learning: Blob Opera (6) Google Machine Learning: Blob Opera 15 Dec 20

Google Blob Opera

Let the dulcet tones of Google’s Blob Opera ring in the holiday season with machine learning offers an explanation.
Hark! The blobs sing!

Or at least, they do in Google’s latest machine learning experiment, the awe-inspiring Blob Opera, which will see a chorus of four adorable, colorful blobs serenade you with spine-tingling operatic music. Drag a blob up or down, and you’ll change what pitch they sing in; drag them from side to side, and you’ll change the vowel sound. Each blob will also harmonize with the others, in what can only be described as magical.

The Blob Opera just sounds beautiful, with soaring harmonies ringing out from each blob. Four actual opera singers — Christian Joel (tenor), Frederick Tong (bass), Joanna Gamble (mezzo-soprano), and Olivia Doutney (soprano) — recorded 16 hours of singing (Ingunn Gyda Hrafnkelsdottir and John Holland-Avery also contributed), but it’s not their actual voices you’re hearing when the blobs sing.

Rather, the team trained a machine learning model on those voice recordings. The blobs are singing what the algorithm “thinks” opera sounds like, based on what it learned through the training. An additional model works to enable the harmonizing.

It's fun to play with and beautiful to listen to.

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