Blob Opera - On Tour!
May 2021 | By David Li in collaboration with Google Arts & Culture
Play four voices in cities around the world, with the help of machine learning
Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture – now on tour!
Opera singers use their voices as expressive and beautiful musical instruments. This experiment pays tribute to those voices, as musical instruments anyone can learn how to play. Play four opera voices in real time. No singing skills required!
How it works:
We collaborated with four opera singers to teach a machine learning model how to sing. Tenor, Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney recorded 16 hours of singing to train an algorithm called a Convolutional Neural Network. 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.
Drag the blobs up and down to change pitch. Or forwards and backwards for different vowel sounds. Another machine learning model lets the blobs respond to and harmonise with your input in real time.
Blob Opera - on tour
We've seen the blobs do their thing in The Blobpera House, now you can take them on tour. Take the blobs to cities around the world, and find inspiration in the music and landmarks of London, New York, Mexico City, Seoul, Cape Town, and Paris.
With special thanks to:
Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery. Arrangements by John Wilkinson.
Blob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices. If you're on a mobile device, why not try a desktop one!
Discover more about Performing Arts on Google Arts & Culture
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