Once you’ve got used to the basics, hit record to share your creations with friends. Silence any blob by simply clicking the mute swich above their head. Drag forwards and backwards to sing different vowels. Pitches stick to a scale, so there are no wrong notes. Simply drag the different blobs up and down to alter pitch as they all sing along in perfect harmony. It’s easy to get started creating your choir. Using machine learning Blob Opera replicate a four piece opera choir.
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I hope you have some fun with these creative blobs today. You can even record your best performances and share them with everyone! Another machine learning model lets the blobs respond to and harmonise your input in real time.Ĭlick the Christmas Tree for a holiday surprise based on the top searched Christmas Carols of the year. Or forwards and backwards for different vowel sounds. How it works: Drag the blobs up and down to change pitch. In the experiment you don’t hear their voices, but the machine learning model’s understanding of what opera singing sounds like, based on what it learnt from them. Tenor, Christian Joel, bass Frederick Tong, mezzo‑soprano Joanna Gamble and soprano Olivia Doutney recorded 16 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. This experiment pays tribute to and explores the original musical instrument: the voice. Create your own opera inspired song with Blob Opera - no music skills required ! A machine learning experiment by David Li in collaboration with Google Arts & Culture.īlob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
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