Two Sonification Methods for the MindCube
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Abstract (arXiv)
In this work, we explore the musical interface potential of the MindCube, an interactive device designed to study emotions. Embedding diverse sensors and input devices, this interface resembles a fidget cube toy commonly used to help users relieve their stress and anxiety. As such, it is a particularly well-suited controller for musical systems that aim to help with emotion regulation. In this regard, we present two different mappings for the MindCube, with and without AI. With our generative AI mapping, we propose a way to infuse meaning within a latent space and techniques to navigate through it with an external controller. We discuss our results and propose directions for future work.
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References · 6
- 2022Classifier-Free Diffusion Guidancecited by 5,847
- 2021RAVE: A variational autoencoder for fast and high-quality neural audio synthesiscited by 73
- 2018Generative timbre spaces: regularizing variational auto-encoders with perceptual metricscited by 13
- 2019Assisted Sound Sample Generation with Musical Conditioning in Adversarial Auto-Encoderscited by 3
- 2020The Accordiatron: A MIDI Controller For Interactive Musiccited by 1
- 2022Flat Latent Manifolds for Human-machine Co-creation of Musiccited by 1
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