Machine Learning for Musicians and Artists

Created by: Rebecca Fiebrink

Produced in 2013

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Course Description

In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data. The focus will be on learning about algorithms, software tools, and best practices that can be immediately employed in creating new real-time systems in the arts.

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Instructor Details

Rebecca Fiebrink

Rebecca is a lecturer in Computing at Goldsmiths, University of London. She is a member of the Embodied AudioVisual Interaction (EAVI) group, and also supervises research in the Soundlab at Princeton University.

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