It Do the Poets in Different Voices

Generative AI Voices, the Uncanny, and the Poetry Audio Archive

Authors

DOI:

https://doi.org/10.13136/2281-4582/2024.i24.1562

Keywords:

Poetry, Sound studies, AI, Voice, Audio

Abstract

This paper examines the advent of poetry performed by generative-AI voices. It proposes that these synthetic voices can cast a new light on literary historical understandings of the original performances through their minute differences. In places where the AI fails to fully achieve verisimilitude, there can be an “uncanny valley” effect, which allows listeners to hear the original performances anew, defamiliarized in the Russian Formalist sense of the term. The paper goes on to propose a phonetic comparison between the AI voices and the human voices they were trained on. By identifying a number of prosodic differences, the paper posits why the AI voice may sound similar but not quite right, leading to the uncanny effect. The intent of this machine-aided close listening is to further discuss the nuances of the human performances and their literary historical contexts, highlighting how the AI voice can support analyses of the original author performances.

Author Biography

  • Chris Mustazza, University of Pennsylvania

    Dr. Chris Mustazza is Co-Director of the PennSound Archive, the world’s largest archive of recordings of poets, and he teaches in the English Department at the University of Pennsylvania. His work focuses on poetry and poetics, sound studies, media history, and experimental digital analyses of poetry audio.

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Published

2024-12-20