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The iteration with Erin Gee was embedded in Algorithms that Matter (ALMAT). ALMAT is a three-year project running from 2017 to 2020, within the framework of the Austrian Science Fund (FWF) – PEEK AR 403-GBL – and funded by the Austrian National Foundation for Research, Technology and Development (FTE) and by the State of Styria. It is hosted by the Institute of Electronic Music and Acoustics (IEM) at the University of Music and Performing Arts Graz. We also acknowledge the support of the Canada Council for the Arts, which last year invested $153 million to bring the arts to Canadians throughout the country.

Main Events 



Almat's methodology is based on iterative reconfiguration. A configuration encompasses the members of the team, Hanns Holger Rutz and David Pirrò, an invited guest artist along with a proposal within which she or he works, a "machinery", including two software systems developed by Rutz (SoundProcesses) and Pirrò (rattle), and possibly more systems brought into the experiment by the guest artists, which we aim to couple and to explore from different perspectives. An iteration takes the form of an online preparation phase, in which the core team and the guest artist engage in a dialogue about their practice and their relation to Almat, as well as the specific preparation of a two months residency period, in which algorithmic sound studies are developed in situ at the IEM in Graz.

The second iteration is conducted with artist and composer Erin Gee (Canada). This research catalogue entry documents our work process.

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Signale Soirée

28 May 2018, IEM, Graz

Sounds For The Emotional Body. Human voices in electronic bodies, electronic voices in human bodies. Artist talk by Erin Gee introducing themes and formats central to her practice.

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BioSynth @ 

Thresholds Of The Algorithmic

8-15 June 2018, Lydgalleriet, Bergen, NO

Presentation of 'Pinch and Soothe', sound installation developed by Erin Gee during her ALMAT residency.

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"Human Voices in Electronic Bodies"

"Electronic Voices in Human Bodies"

Departing from Erin's interest in affective computing, the residency developed around the themes of embodiment, corporeality and the relationship between human bodies and algorithms. Some questions that were central: how can physiological data be interpreted in order to detect distinct emotions? Which strategies can be used to sonify them, and what qualities emerge out of this transposition? What happens when you create a feedback loop between a human body and its sonification?

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keywords: [affective computing, emotions, body, voice, sonification]