This kind of capability could change the AI music revolution.
To do this, Blob Opera uses a second machine learning model to make the blobs respond to and harmonize users input in real time.
This kind of feat requires a large dataset of existing harmonies, fed into machine-learning algorithm that can find patterns in that data. What makes the blobs smart, is the way the AI harmonizes the voices in real-time to any new directions. When users drag the blobs, the blob with the highest voice will always take the melody while the bassier blobs will do the harmonious groundwork for their star soloist. Users can run a simple pitch tracker of their voice in real-time, and then use the harmonization component from Blob Opera. For example, users can use their own voice to voice the blobs.
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