This project is generally focused on integrating Machine Learning techniques to the design, creation, and performance aspect of Digital Musical Instruments (DMIs).
More specifically we are interested in how Generative Machine Learning can be used as a creative tool for musicians irrespective of musical techniques, genres, or performance style. .
Current Researchers
Current Publications
We aim to actively share our work with the larger research community. Here is a selected list of our publications to date.
Creating Latent Representations of Synthesizer Patches using Variational Autoencoders Proceedings Article
In: Proceedings of the 4th International Symposium on the Internet of Sounds (IS2), Pisa, Italy, 2023.
FAUSTMapper: Facilitating Complex Mappings for Smart Musical Instruments Proceedings Article
In: Proceedings of the 4th International Symposium on the Internet of Sounds (IS2), Pisa, Italy, 2023.