Listening to the Diagnostic Ear

Date

2020

Date 1
Status
Sean Dockray,
Sean Dockray, Listening to the Diagnostic Ear, 2020, audio-video essay, presented as part of Machine Listening Ep 3: Listening With The Pandemic, Liquid Architecture and Unsound, (video still).

Listening to the Diagnostic Ear, 2020

audio-video essay, website, machine learning dataset.

Researched, written and produced: Sean Dockray

Software design: Sean Dockray

Commissioned: Ian Potter Museum of Art for the MACHINE Interdisciplinary Forum, 2020

The Ian Potter Museum of Art commissioned Sean Dockray to develop an online artwork for the MACHINE Interdisciplinary Forum.

The commissioned work, Listening to the Diagnostic Ear, engages with some questions – what can a cough tell us? What can a cough tell about us? More than a few medical/entrepreneurial projects, which are collecting and analysing coughs in order to diagnose COVID-19, have appeared over the past few months. These projects appeared suddenly, all at once, like symptoms of an underlying condition. When a project such as this is finally realised as an AI Doctor, it will confront us as a diagnostic ear, listening to the noises we make to recognise what can’t be heard, what we don’t even know about ourselves. In Listening to the Diagnostic Ear, we listen back, by listening to one dataset of coughs that the machine is learning from. What is this ear learning from these coughs? What can a cough tell us?

Sean Dockray, Listening to the Diagnostic Ear, 2020, audio-video essay, presented as part of Machine Listening Ep 3: Listening With The Pandemic, Liquid Architecture and Unsound.

Presentations: