Netronomia by Ethan Cayko
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Publication date
2024-04-29Creators
Moroz, Solomiya
Vear, Craig
Metadata
Show full item recordDescription
Netronomia uses the Netronome, a networked metronome developed at UCSB by Ethan Cayko, to create a multi-city rhythmic work. It addresses the challenge of synchronising performers across different locations with varying latencies, making rhythmic accuracy difficult without adjustment. The Netronome facilitates calibration of timing relationships, enabling musicians to play together despite being physically apart. The Netronome introduces rhythmic offsets due to latency, resulting in performers experiencing different rhythmic versions of the same music. The Netronome challenges traditional notions of musical scores by materially structuring the temporal space between performers. Unlike traditional scores, it not only provides instructions for sound production but also regulates temporal relationships among performers. This feature could empower composers to craft desired rhythmic units and give musicians control over their performances, mitigating the impact of network latency on intentionality.
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Subjects
- Digital media
- Instrumental ensembles
- Instrumental music
- digital scores, networked performance, remote performance, digital media, digital musicianship, instrumental, coding
- Creative Arts & Design
- Creative Arts & Design::Music
- M Music and Literature on music
- M Music and Literature on music::M Music
Divisions
- University of Nottingham, UK Campus
Research institutes and centres
- University of Nottingham, UK Campus
Deposit date
2024-04-29Alternative title
- Networked digital score presented in collaboration with UC Santa Barbara and Beijing Conservatory of Music
Data type
dataset: questionnaires, code books, interviews, audio and videos recordingsContributors
- Cayko, Ethan
Funders
- Other
- European Research Council
Grant number
- ERC-2020-COG – 101002086
Parent project
- Digital Score Project
Collection dates
- January-February, 2024
Coverage
- Vermont, California, Beijing
Data collection method
questionnaires, semi-structured interview, video recordingResource languages
- en