A Meta-Instrument for Interactive, On-the-fly Machine Learning

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Fiebrink, Rebecca and Trueman, Daniel and Cook, Perry R. (2009) A Meta-Instrument for Interactive, On-the-fly Machine Learning. In: International Conference on New Interfaces for Musical Expression (NIME), 3-6 June 2009, Pittsburgh, PA, USA.

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Type of Research:	Conference, Symposium or Workshop Item
Creators:	Fiebrink, Rebecca and Trueman, Daniel and Cook, Perry R.
Description:	Supervised learning methods have long been used to allow musical interface designers to generate new mappings by example. We propose a method for harnessing machine learning algorithms within a radically interactive paradigm, in which the designer may repeatedly generate examples, train a learner, evaluate outcomes, and modify parameters in real-time within a single software environment. We describe our meta-instrument, the Wekinator, which allows a user to engage in on-the-fly learning using arbitrary control modalities and sound synthesis environments. We provide details regarding the system implementation and discuss our experiences using the Wekinator for experimentation and performance.
Official Website:	https://www.nime.org/2009/
Your affiliations with UAL:	Research Centres/Networks > Institute for Creative Computing
Date:	June 2009
Related Websites:	http://www.wekinator.org
Related Websites:	http://www.wekinator.org
Event Location:	Pittsburgh, PA, USA
Date Deposited:	09 Apr 2021 14:51
Last Modified:	19 Feb 2026 11:47
Item ID:	16687
URI:	https://ualresearchonline.arts.ac.uk/id/eprint/16687
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A Meta-Instrument for Interactive, On-the-fly Machine Learning