Noisy Fields: Interference And Equivocality In The Sonic Legacies Of Information Theory
MetadataShow full item record
Noisy Fields: Interference and Equivocality in the Sonic Legacies of Information Theory discusses the ways in which noise causes interferences within disciplinary fields. Noise tends to bring diverse disciplinary approaches together, interfering in their constitution and their dynamics. I understand noise to be more than either positive revolutionary potential or negative disruption; instead, noise functions equivocally, possessing aspects of each pole in varying degrees. As such, it is vital to follow the machinations of noise. Considering noise as a material-discursive phenomenon, I trace its intersections with sonic practices and information theory. Noise was a key point of contention in the early debates surrounding the development of information theory, and I examine some situations that provide alternatives to the standard formulations. I then trace the interrelationships between information theory, noise, and early electronic music in the 1950s, outlining how artistic experiences necessitated the development of new information theories. Considering the confluence of sound and information in finance, I show how noise is both understood as a potential source of monetization while ultimately confounding attempts at complete capture. I turn to the nexus of speech, the voice, and noise, to consider situations of parrhesia , or "fearless speech", that consists of noisy interferences within social systems via the activity of robotic performing objects. Finally, I listen to the electronic vocal manipulations of Maja Ratkje and Holly Herndon to consider a micropolitics of the noisy voice. In sum, I show how the analysis of noise requires a transdisciplinary approach in order to elucidate the complicated dynamics of its interferences.
noise; sound; information theory; cybernetics; music; finance; robotics; voice
Sengers, Phoebe J.
Gillespie, Tarleton L.; Murray, Timothy Conway; Fernandez, Maria
Ph. D., Information Science
Doctor of Philosophy
Has other format(s)
dissertation or thesis