Creates grooves based on the rhythm of any input. Can be used to generate a drum accompaniment to a bassline or melody, or to create a drum track from a tapped rhythm. Drumify works best with performed inputs, but it can also handle quantized clips. Ready to use as a Max for Live device. If you want to train the model on your own data or try different pre-trained models provided by the Magenta team, refer to the instructions on the team's GitHub page: https://github.com/magenta/magenta/tree/main/magenta/models/drums_rnn
Year: 2018
Website: https://magenta.tensorflow.org/studio#drumify
Input types: MIDI
Output types: MIDI
Output length: Input length
AI Technique: LSTM
Dataset: Expanded Groove MIDI dataset; Groove MIDI dataset
License type: Apache 2.0
Real time:
Free:
Open source:
Checkpoints:
Fine-tune:
Train from scratch: