Evaluating Co-Creativity using Total Information Flow
Vignesh Gokul Chris Francis Shlomo Dubnov
Co-creativity in music refers to two or more musicians or musical agents
interacting with one another by composing or improvising music. However, this
is a very subjective process and each musician has their own preference as to
which improvisation is better for some context. In this paper, we aim to create
a measure based on total information flow to quantitatively evaluate the
co-creativity process in music. In other words, our measure is an indication of
how "good" a creative musical process is. Our main hypothesis is that a good
musical creation would maximize information flow between the participants
captured by music voices recorded in separate tracks. We propose a method to
compute the information flow using pre-trained generative models as entropy
estimators. We demonstrate how our method matches with human perception using a
qualitative study.