Velocity Prediction for MIDI Notes with Deep Learning

Abstract

This papers studies the use of a deep autoencoder to automatically generate dynamics for MIDI (Musical Instrument Digital Interface) files without velocity information. The experimental results show that the proposed approach outperforms existing methods. The subjective tests also show that a MIDI file with velocity values generated by the proposed model sounds more pleasant.