Developerīlob Opera was developed by David Li. Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices. Developed by Google and AI artist David Li, it's essentially a machine learning experiment that allows users compose their own operatic renditions through a quartet of colorful singing blobs. And that is by introducing four singing blobs called 'Blob Opera'. Another machine learning model lets the blobs respond to and harmonise your input in real time. With the holiday coming, Google has something in its mind to festive. Or forwards and backwards for different vowel sounds. Drag the blobs up and down to change pitch. Accueil Recherche Scientifique et Innovation.
No singing skills required! We developed a machine learning model trained on the voices of four opera singers in order to create an interactive experiment anyone can enjoy, regardless of musical skills. Appellez nous au +226 64 75 65 15 miller and carter sevenoaks car park. This experiment pays tribute to and explores the original musical instrument: the voice. Choose the notes and pitch to generate a beautiful (or ugly) sound in this fun online game.īlob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture. Generate a nice opera sound by giving each blob something to sing. Find them the next time you search on Google for winter holidays like "Hanukkah," "Christmas" and "Kwanzaa.Home Funny Games Blob Opera Blob Opera Game Google Arts & Culture has also created holiday-themed virtual colouring books. The creative holiday fun doesn’t end there. But no worries if you’re feeling a bit too shy to compose: You can also have the Blobs put on a festive performance while you sit back and enjoy classics like “Jingle Bells” and “O Holy Night.”
The blobs respond and harmonise to your input in real time. The resulting experiment allows you to play Blob Opera, altering pitch & vowel sounds to create your own composition. In the experiment you don’t hear their voices, but rather the machine learning model’s understanding of what opera singing sounds like, based on what it learned from the opera singers. Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded many hours of singing.
We developed a machine learning model trained on the voices of four opera singers in order to create an engaging experiment for everyone, regardless of musical skills.
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