GPianoroll: a Deep Learning System with Human Feedback for Music Generation

Abstract

We present a human-feedback-based evaluation pipeline for deep learning generative models, tested on music composition. Leveraging Bayesian Optimization and asking users to grade the generated songs, we efficiently find the point of a given model’s latent space that yields each volunteer’s favorite without retraining.