A framework to compare music generative models using automatic evaluation metrics extended to rhythm

Sebastian Garcia-Valencia, Alejandro Betancourt, Juan G. Lalinde-Pulido

To train a machine learning model is necessary to take numerous decisions about many options for each process involved, in the field of sequence generation and more specifically of…