Abstract
Peformed at the xCoAx: Computer, Communication, Aesthetics & X Concerts in Madrid
Signal to Noise Loops i++ is a live performance for the PerformIOT system. This system involves the application of techniques and concepts from the field of data-driven music to achieve a balanced co-ordination between algorithmic composition, live looping and improvisation in the context of live electronic music performance. The performance utilises Smart City IoT data drawn from sensors placed around Dublin City. From January to May of 2018 Ireland experienced a number of unusually strange weather events. Devices monitoring ambient noise levels, water levels and air quality measured the effects of these events on the city. While each of these streams of data represents an independent set of measurements for unique phenomena, they nonetheless share a commonly interrelated structure as they have been shaped by the recent history of strange weather events. This makes them useful for coordinating and balancing our live performance system because while they share similar characteristics and trajectories there is also enough variance between the different data streams to prevent the system from sounding too static and homogenous.
Signal to Noise Loops i++ is a live performance for the PerformIOT system. This system involves the application of techniques and concepts from the field of data-driven music to achieve a balanced co-ordination between algorithmic composition, live looping and improvisation in the context of live electronic music performance. The performance utilises Smart City IoT data drawn from sensors placed around Dublin City. From January to May of 2018 Ireland experienced a number of unusually strange weather events. Devices monitoring ambient noise levels, water levels and air quality measured the effects of these events on the city. While each of these streams of data represents an independent set of measurements for unique phenomena, they nonetheless share a commonly interrelated structure as they have been shaped by the recent history of strange weather events. This makes them useful for coordinating and balancing our live performance system because while they share similar characteristics and trajectories there is also enough variance between the different data streams to prevent the system from sounding too static and homogenous.
| Original language | English (Ireland) |
|---|---|
| Publisher | xCoAx Conference on Computation, Communication, Aesthetics & X |
| Publication status | Published - Jan 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
UCC Futures
- Future of Networks, Systems & Cybersecurity (NASC)
- Future Humanities Institute
Keywords
- sound & music computing
- Smart Cities
- Internet of Things (IoT)
- Internet of Sounds (IoS)
- Sensor Networks
- Music
- experimental music
- Media Engineering
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