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. Li and his team 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. We think it appropriate, therefore, to show you this remarkable machine learning experiment by David Li, in collaboration with Google Arts and Culture. This holiday season has been, frankly, weird. Additional singing from Ingunn Gyda Hrafnkelsdottir and John Holland-Avery.īlob Opera is an experiment using the latest web audio technology and may not perform optimally on older devices.Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture. Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney.

Another machine learning model lets the blobs respond to and harmonise your input in real time. Or forwards and backwards for different vowel sounds. 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.ĭrag the blobs up and down to change pitch. 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 interactive experiment anyone can enjoy, regardless of musical skills. Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.

Blob opera app