Exploring Conditioning for Generative Music Systems with Human-Interpretable Controls

Understand

Performance RNN is a machine-learning system designed primarily for the generation of solo piano performances using an event-based (rather than audio) representation.

• More specifically, Performance RNN is a long short-term memory (LSTM) based recurrent neural network that models polyphonic music with expressive timing and dynamics (Oore et al., 2018).
• The neural network uses a simple language model based on the Musical Instrument Digital Interface (MIDI) file format.
• Performance RNN is trained on the e-Piano Junior Competition Dataset (International Piano e-Competition, 2018), a collection of solo piano performances by expert pianists.