Generates MIDI notes that are likely to follow the input drum beat or melody. Can extend the input of a specified MIDI clip by up to 32 measures. This can be helpful for adding variation to a drum beat or creating new material for a melodic track. It typically picks up on things like durations, key signatures and timing. It can be used to produce more random outputs by increasing the temperature. 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/melody_rnn
Year: 2018
Website: https://magenta.tensorflow.org/studio#continue
Input types: MIDI
Output types: MIDI
Output length: 32 bars
AI Technique: LSTM
Dataset: MelodyRNN - Not disclosed; PerformanceRNN - The Piano- e-Competition dataset
License type: Apache 2.0
Real time:
Free:
Open source:
Checkpoints:
Fine-tune:
Train from scratch: