The main difference is the methodology used to sense and interpret the inputs. "Kinetic Touchless 3.0 retains the essence of its two predecessors – sensing the user's gestural input and providing a touchless interface to the said interactive touchpoint. Update September 20: Kevin Yeo from Stuck Labs has offered us a bit more insight into the project: 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.Kinetic Touchless 3.0 | Touchless Symphony for the Joy of Movement Tenor Christian Joel, bass Frederick Tong, mezzo-soprano Joanna Gamble and soprano Olivia Doutney. Hear the blobs sing a curated selection of traditional, classic songs in the public domain from each location. 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. We’ve seen the blobs do their thing in The Blobpera House, now you can take them on tour. Another machine learning model lets the blobs respond to and harmonise with 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 to train an algorithm called a Convolutional Neural Network. They collaborated with four opera singers to teach a machine learning model how to sing. This experiment pays tribute to those voices, as musical instruments anyone can learn how to play. Opera singers use their voices as expressive and beautiful musical instruments.
Blob Opera is a machine learning experiment by David Li in collaboration with Google Arts and Culture.
0 kommentar(er)
