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Beat Blender is a machine learning music experiment that lets people explore and create rhythms through simple, playful interaction. By dragging a circle or drawing a path, users blend and discover new beats generated by a neural network trained on over 3.8 million drum patterns.
Created by Torin Blankensmith and Kyle Phillips in collaboration with the Magenta team at Google.