Dr Rebecca Fiebrink
BiographyI am a Reader at the UAL Creative Computing Institute. My students, research assistants, and I work on a variety of projects developing new technologies to enable new forms of human expression, creativity, and embodied interaction. Much of my current research combines techniques from human-computer interaction, machine learning, and signal processing to allow people to apply machine learning more effectively to new problems, such as the design of new digital musical instruments and gestural interfaces for gaming and accessibility. I am also involved in projects developing rich interactive technologies for digital humanities scholarship, and machine learning education. I am the creator of the Wekinator (http://www.wekinator.org/) tool for real-time interactive machine learning and teach the Machine Learning for Musicians and Artists course on Kadenze (https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info).
- Bernardo F, Zbyszynski M, Grierson M, Fiebrink R. Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology (2020)
- Fiebrink R. Machine Learning Education for Artists, Musicians, and Other Creative Practitioners (2019)
Conference, Symposium or Workshop item
- Vigliensoni G, McCallum L, Fiebrink R. Creating Latent Spaces for Modern Music Genre Rhythms Using Minimal Training Data (2020)
- Fiebrink R, Sonami L. Reflections on Eight Years of Instrument Creation with Machine Learning (2020)
Animation, interactive, film and sound