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Identify gaps in audio deepfake research concerning languages beyond Standard American English.

June 11, 2026Open Access

Toward Linguistic Inclusivity in Audio Deepfake Research

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Identify gaps in audio deepfake research concerning languages beyond Standard American English.
Literature review on audio deepfake detection research across various languages.
Assessment of dataset availability for non-English and signed languages.
Analysis of barriers in accessing multilingual datasets.
Significant scarcity of research on audio deepfakes in languages other than Standard American English.
Limited availability of multilingual datasets hampers detection efforts.
Notable absence of studies focusing on signed languages, despite their global usage.

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Review highlights gaps in audio deepfake detection across diverse languages, indicating limited resources for researchers.

Whitney Fils-Aime (2025) studied this question.

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