Evaluating Co-Creativity using Total Information Flow
<|reference_start|>Evaluating Co-Creativity using Total Information Flow: 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.<|reference_end|>
@article{gokul2024evaluating,
    title={Evaluating Co-Creativity using Total Information Flow},
    author={Vignesh Gokul, Chris Francis, Shlomo Dubnov},
    journal={arXiv preprint arXiv:2402.06810},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.06810},
    primaryClass={cs.SD cs.AI cs.HC cs.IT cs.LG eess.AS math.IT}
}