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Spatiotemporal Networks in Ryoji Ikeda’s Electronic Music: Loop, variation and re-contextualisation of sound

Published online by Cambridge University Press:  21 June 2023

Marina Sudo*
Affiliation:
KU Leuven, Belgium
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Abstract

Ryoji Ikeda’s sonic composition has often been considered to prioritise a physical, immersive experience of space over temporal musical progression. This article challenges this commonly held view, arguing that the static nature of his work should be understood in terms of complex interactions between space and time rather than in dualistic terms. By analysing a large-scale sonic transformation within his 2005 album Dataplex, the article uncovers complex rhizomatic networks of materials that expand across multiple tracks. The links between the album tracks leads to an unconventional quality of musical time that contains a high degree of statis yet nevertheless presents a non-linear progression, which is created through repetition (loops), variation and re-contextualisation of sounds. The analysis suggests that experiencing the ordered series of tracks in the album means accumulating information and exploring memory within a non-interchangeable process of sonic flow and metamorphosis. Despite the fragmentary nature of these internal continuities, the resulting rhizomatic networks provide a means to understand and even to listen structurally to Ikeda’s sonic composition.

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
© The Author(s), 2023. Published by Cambridge University Press
Figure 0

Table 1. Track contents of Dataplex with the indication of formal divisions

Figure 1

Figure 1. Transcription of pitched elements within material B.

Figure 2

Figure 2. Formal outline in track 18 of Dataplex.

Figure 3

Table 2. Formal outline in track 19 of Dataplex

Figure 4

Figure 3. Sonogram with annotation in variations 3–4 in track 19.

Figure 5

Figure 4. Sonogram with annotation in variations 6–7 in track 19.