A collection of improvised performances from participants in the Musically Embodied Machine Learning project (MEML). We are exploring the concept of building new hybrid musical instruments with embedded machine learning.
Embedded machine learning empowers musicians to find new performance approaches by sharing control with often unpredictable and lively algorithms within the instrument. We will present performances with a variety of machine learning augmented acoustics instruments, in solo and group improvisations.