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Reflections on Eight Years of Instrument Creation with Machine Learning
Proceedings of the International Conference on New Interfaces for Musical Expression
Machine learning (ML) has been used to create mappings for digital musical instruments for over twenty-five years, and numerous ML toolkits have been developed for the NIME community. However, little published work has studied how ML has been used in sustained instrument building and performance practices. This paper examines the experiences of instrument builder and performer Laetitia Sonami, who has been using ML to build and refine her Spring Spyre instrument since 2012. Using Sonami'sdoi:10.5281/zenodo.4813334 fatcat:6mtcjzhze5ft5oqnelzt4n6feu