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Conference object . 2020
License: CC BY
Data sources: Datacite
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Conference object . 2020
License: CC BY
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Conference object . 2020
License: CC BY
Data sources: Datacite
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Conference object . 2023
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A platform for low-latency continuous keyboard sensing and sound generation

Authors: Giulio Moro; Andrew P. McPherson;

A platform for low-latency continuous keyboard sensing and sound generation

Abstract

On several acoustic and electromechanical keyboard instruments, the produced sound is not always strictly dependent exclusively on a discrete key velocity parameter, and minute gesture details can affect the final sonic result. By contrast, subtle variations in articulation have a relatively limited effect on the sound generation when the keyboard controller uses the MIDI standard, used in the vast majority of digital keyboards. In this paper we present an embedded platform that can generate sound in response to a controller capable of sensing the continuous position of keys on a keyboard. This platform enables the creation of keyboard-based DMIs which allow for a richer set of interaction gestures than would be possible through a MIDI keyboard, which we demonstrate through two example instruments. First, in a Hammond organ emulator, the sensing device allows to recreate the nuances of the interaction with the original instrument in a way a velocity-based MIDI controller could not. Second, a nonlinear waveguide flute synthesizer is shown as an example of the expressive capabilities that a continuous-keyboard controller opens up in the creation of new keyboard-based DMIs.

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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!
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OpenAIRE UsageCountsViews provided by UsageCounts
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