Warning: Humans Cannot Reliably Detect Speech Deepfakes

Mai, Kimberly T.; Bray, Sergi D.; Davies, T.; Griffin, Lewis D.

doi:10.48550/arxiv.2301.07829

2023

DOI: 10.48550/arxiv.2301.07829

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Warning: Humans Cannot Reliably Detect Speech Deepfakes

Kimberly T. Mai¹,

Sergi D. Bray²,

T. Davies³

et al.

Abstract: We gratefully acknowledge funding from the Dawes Centre for Future Crime and EPSRC under grant EP/R513143/1. Kimberly T. Mai thanks Kelvin Ma for assistance with translating survey materials.

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2024

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A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration

Mallinson,

Janeja,

Evered

et al. 2024

Language and Linguist. Compass

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Deepfakes, particularly audio deepfakes, have become pervasive and pose unique, ever‐changing threats to society. This paper reviews the current research landscape on audio deepfakes. We assert that limitations of existing approaches to deepfake detection and discernment are areas where (socio)linguists can directly contribute to helping address the societal challenge of audio deepfakes. In particular, incorporating expert knowledge and developing techniques that everyday listeners can use to avoid deception are promising pathways for (socio)linguistics. Further opportunities exist for developing benevolent applications of this technology through generative AI methods as well.

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A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration

Mallinson,

Janeja,

Evered

et al. 2024

Language and Linguist. Compass

View full text Add to dashboard Cite

show abstract

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Warning: Humans Cannot Reliably Detect Speech Deepfakes

Abstract: We gratefully acknowledge funding from the Dawes Centre for Future Crime and EPSRC under grant EP/R513143/1. Kimberly T. Mai thanks Kelvin Ma for assistance with translating survey materials.

Cited by 1 publication

References 20 publications

A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration

A place for (socio)linguistics in audio deepfake detection and discernment: Opportunities for convergence and interdisciplinary collaboration

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