Not I

Not I is an essay film and multichannel installation that explores the problematics of contemporary vocal profiling technology. It challenges the impulse to apply statistical learning techniques to polymorphous features of human expression for the purpose of speculative reconstruction exhibited in data science. Building upon the work of scholars across sound studies and vocal studies, Not I troubles the assumptions behind attempts to distil a one-to-one mapping of voice and identity. The film centres on an investigation into, and attack on, Speech2Face, a machine learning model which attempts to generate an image of the face of a speaker based solely on a recording of their voice. We leverage the affective qualities of moving image work to present this investigation as a form of experiential critique, forcing the viewer into an affective scenario that unsettles their existing heuristics used to infer speaker identity from vocal perception.

Publication Details

Journal
University of the Arts London Research Online (University of the Arts London)
Published
2024-08-20
DOI
https://doi.org/10.34626/2024_xcoax_026
Primary Topic
Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00
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Not I

University of the Arts London Research Online (University of the Arts London)
Biomedical and Chemical Research
article

Not I

article en

Abstract

Not I is an essay film and multichannel installation that explores the problematics of contemporary vocal profiling technology. It challenges the impulse to apply statistical learning techniques to polymorphous features of human expression for the purpose of speculative reconstruction exhibited in data science. Building upon the work of scholars across sound studies and vocal studies, Not I troubles the assumptions behind attempts to distil a one-to-one mapping of voice and identity. The film centres on an investigation into, and attack on, Speech2Face, a machine learning model which attempts to generate an image of the face of a speaker based solely on a recording of their voice. We leverage the affective qualities of moving image work to present this investigation as a form of experiential critique, forcing the viewer into an affective scenario that unsettles their existing heuristics used to infer speaker identity from vocal perception.

University of the Arts London Research Online (University of the Arts London)
Quality Education
Openalex Percentile: Top 49%
Biomedical and Chemical Research
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Not I · University of the Arts London Research Online (University of the Arts London) (2024) | TGRS Research Map | TGRS