Data-Driven Music, Live Electronic Music
Performance, Smart Cities, IoT, Human-computer Interaction, Sound & Music Computing, Generative Music
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.