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The performance of machine aesthetics: acoustic reimagining of electronic music

Published online by Cambridge University Press:  16 May 2024

Alex Stevenson*
Affiliation:
Leeds Beckett University
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Abstract

This article explores the emergence of musical performance practices whereby electronic music styles, along with the musical and sonic characteristics inherent in their electronic production, are emulated through live musical performance using acoustic instrumentation. The article draws on Brummett's (1999) concept of ‘machine aesthetics’ to explore the emergence of these practices, whereby musicians emulate sonic and musical attributes of music usually produced by machines, without the use of machines. Utilising semi-structured interviews and musical analysis of records by Abstract Orchestra and GoGo Penguin, the article attempts to contextualise these practices within their broader function in popular music production and performance.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press.
Figure 0

Figure 1. Audio Waveform and Melodic Spectrogram of ‘Abstract Orchestra - Raw Shit’ 1:02-1:06 showing the emulated digital drop out using Sonic Visualiser software.

Figure 1

Figure 2. Audio Waveform and Melodic Range Spectrogram of ‘Abstract Orchestra - Dilla Mix 2’ 5:115–:17 showing the emulated sample cutting using Sonic Visualiser software

Figure 2

Figure 3. Audio waveform of Bar 3 of ‘Abstract Orchestra - Love Jones’ against a 4/4 105 BPM (16th note) grid (top) and 12/8 157.5 BPM (24th note) grid (bottom) using Avid Pro Tools software.

Figure 3

Figure 4. Audio waveform of Bar 10 of ‘Abstract Orchestra - Fantastic (2017) against an 88.2 BPM 4/4 (16th-note) grid (top) and 132.3 BPM 12/8 (24th note) grid (bottom) using Avid Pro Tools software.

Figure 4

Figure 5. Audio Waveform and Melodic Spectrogram of ‘GoGo Penguin – Garden Dog Barbecue’ 00:2000–:55 showing the uplifter performed by the upright bass using Sonic Visualiser software.

Figure 5

Figure 6. Audio Waveform and Melodic Spectrogram of ‘GoGo Penguin – One Percent’ 05:1705–:30 showing the emulation of glitches caused by the playback of a scratched CD using Sonic Visualiser software.