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Reidentification of Participants in Shared Clinical Data Sets: Experimental Study
Approaches that involve modifying nonlinguistic aspects of speech through distortion or alteration of the signal may address the inherent identifiability of the speech signal (ie, its potential as a voiceprint) [13,17], but this is not an option when a central part of speech examination in medicine is to use the acoustic signal to detect subtle nonlinguistic abnormalities indicative of the presence of neurological disease [11,13].
JMIR AI 2024;3:e52054
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Unlike the Massachusetts Institute of Technology’s AI technology for identifying coughs [26], the AI-based voiceprint health code installed in smartphone apps will be matched to personal spatiotemporal track data. With intelligent computing and integrated analysis, it is easy to assess changes in users’ voiceprints and the voiceprint of those who have had temporal and spatial intersections with the user [27].
J Med Internet Res 2023;25:e44795
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