With the help of Amazon's Mechanical Turk, I asked workers to record 30+ seconds of "silence" from an on-board, or on-hand microphone. After collecting results, I normalized the submitted silence to a zero decibel level which high-lights the minor - normally inaudible - discrepancies between each recording/location/worker.
In doing so, Normalized Silence approaches the discourse of anonymity that surrounds network and out-source cultures. Accentuating the normally "silent" voices of anonymous workers within this framework provides a aural gesture of individuality within a realm of digital shadows.
