Abstract:
"Computer creativity has been a topic of interest where discussions of advancements of AI have been concerned. This topic is further explored in through the aspect of music generation in this text. When speaking of music generation through AI the most effective i.e., the approach that yields the most promising results in terms of creativity would be unsupervised approaches.
Spearheading the departments of music generation would be GANs. Creative Adversarial
Networks (CANs) have been based off GANs and have shown promising results in the field of art.
The author therefore will put CANs to the test on how well music generation can be attempted through the application of CANs in MusiCAN."
