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Conference object . 2020
License: CC BY
Data sources: ZENODO
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Article . 2020
License: CC BY
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Race to the Bottom

Authors: Green, Owen;
Abstract

Race to the Bottom is the most recent of a string of improvising machines involving bowed cardboard boxes, developed over the last decade. In all these systems, bowed cardboard is both the source of all sonic material and the ‘control’ interface to software that occupies a changeable and turbulent role in the territories between algorithmic co-player, instrument and processor. Boxes, it turns out, yield a much more varied sound world, and more room for practised technique than I had imagined when I started exploring them (somewhat facetiously). They also present a range of interesting challenges to machine listening algorithms, such are the instabilities and varied points of interest in their sound. All of these improvising machines have explored different approaches to dealing with this, and finding creative ways of enjoying the software’s frequent ‘misunderstandings’ of its input. Increasingly, these machines have also been a place for me to investigate ways of dealing with time in algorithmically mediated improvising, particularly when (as here) my hands are already busy, and I have to trust my software’s sense of time and musicality (or at least put up with it). In Race to the Bottom, these fronts are explored by abusing segmentation algorithms and beat trackers as (loose- ish) analogues for, respectively, oscillators and filters. A clutch of these run at different rates, latching on to different parts of different sounds, and interfering with each other, informing both the processing of sound and the unfolding of musical shape.

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  • citations
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
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
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