Corpus ID: 235446752

Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders

@article{Browne2021LatentMG,
  title={Latent Mappings: Generating Open-Ended Expressive Mappings Using Variational Autoencoders},
  author={Tim Murray Browne and P. Tigas},
  journal={ArXiv},
  year={2021},
  volume={abs/2106.08867}
}
In many contexts, creating mappings for gestural interactions can form part of an artistic process. Creators seeking a mapping that is expressive, novel, and affords them a sense of authorship may not know how to program it up in a signal processing patch. Tools like Wekinator and MIMIC allow creators to use supervised machine learning to learn mappings from example input/output pairings. However, a creator may know a good mapping when they encounter it yet start with little sense of what the… Expand