Taught by: Ted Moore
Sunday 29th January 4pm UK
The Fluid Corpus Manipulation project (FluCoMa) provides novel machine learning tools for use in the digital composition process. Unsupervised Machine Learning refers to algorithms and strategies used to find patterns in data that might not be known ahead of time. After using FluCoMa objects to analyze audio, unsupervised learning algorithms can help automatically find sounds that are similar or different, plot complex analyses in a navigable two-dimensional space, or help organize sound slices for interfacing with a controller. This gives a vast array of creative possibilities for composition, sound design and performance. In this workshop, Ted Moore from the FluCoMa project will guide you through an exploration of some of the creative possibilities available via Unsupervised Learning with the FluCoMa Max Package. Basic experience of FluCoMa is advised before joining this workshop. For example, it is strongly recommended that you have taken the free on-demand workshop Using Machine Learning Creatively via FluCoMa In Max.
Level
Starts on: 29/01/2023 16:00 London time
Tribe start time
2023-01-29 16:00:00{{ distance }}
Buy this single course:
$ 38
Ted Moore (he / him) is a composer, improviser, and intermedia artist. He holds a PhD in Music Composition from the University of Chicago and recently served as a Research Fellow in Creative Coding at the University of Huddersfield, investigating the creative affordances of machine learning and data science algorithms as part of the FluCoMa project. His work focuses on fusing the sonic, visual, physical, and acoustic aspects of performance and sound, often through the integration of technology.