Conference Publication Details
Mandatory Fields
Stephen Roddy
Conference on Computation, Communication, Aesthetics & X
Signal to Noise Loops i++: Noise Water Air
2018
Unknown
Published
1
()
Optional Fields
Data-Driven Music, Live Electronic Music Performance, Smart Cities, IoT, Human-computer Interaction, Sound & Music Computing, Generative Music
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 mea- sured the effects of these events on the city. While each of these streams of data represents an independent set of measurements for unique phenome- na, 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.
Irish Research Council & Science Foundation Ireland
https://2018.xcoax.org/pdf/xCoAx2018-Roddy.pdf
https://2018.xcoax.org/pdf/xCoAx2018-Roddy.pdf
Grant Details
Irish Research Council
This publication has emanated from research supported by an Irish Research Council (IRC) Government of Ireland Postdoctoral Research Fellowship. This publication has emanated from research supported in part by a research grant from Science Foundation Ireland (SFI) and is co-funded under the European Regional Development Fund under Grant Number 13/RC/2077