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Learning Machine Knit Minput Intertextiles

Authors: Shepardson, Victor; Skach, Sophie;

Learning Machine Knit Minput Intertextiles

Abstract

What lies among these loops of copper, wool and steel? Skin, yarn and wire form a circuit, machine precision meets somatic sense, and tactility elaborates algorithmic entanglements. In this performance, e-textile pieces are patched into a no-input mixer, while player uses interactive machine learning tools to embroider sonic layers onto a repeated gesture. Analog audio signals from a no-input mixing board are routed through a piezoresistive mat which has been knitted from wool and steel yarns. The performer first develops a patch on the no-input mixing board to sound a two-handed pressing gesture on the mat. Then, the they alternate between performing the gesture and refining mappings between a machine listing algorithm and additional layers of sound using the anguilla interactive machine learning package.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green