🤖 AI Summary
Blob Opera has unveiled its Community Edition, a machine learning experiment co-developed by David Li and Google Arts and Culture, now enhanced by contributors addyosmani and yell0wsuit. This version allows users to engage in interactive opera singing by manipulating animated blobs that embody four opera voices—tenor, bass, mezzo-soprano, and soprano—trained using 16 hours of recorded performances. The underlying technology utilizes a Convolutional Neural Network to replicate the nuances of opera singing, enabling users to create harmonies and melodies in real-time without any vocal training.
This update highlights the significance of blending technology and the arts, offering an accessible platform for creativity that democratizes music participation. Users can now upload custom songs, manage saved tracks, and virtually tour iconic cities like London and New York, experiencing a curated selection of traditional songs while connecting with global cultures. The innovative use of web audio technology in Blob Opera underscores the ongoing evolution of AI in artistic fields, illustrating its potential to reshape how we interact with music and performance.
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