Accuracy of Speech-to-Text Transcription in a Digital Cognitive Assessment for Older Adults.

ABSTRACT: Background/Objectives: Neuropsychological assessments are valuable tools for evaluating the cognitive performance of older adults. Limitations associated with these in-person paper-and-pencil tests have inspired efforts to develop digital assessments, which would expand access to cognitive screening. Digital tests, however, often lack validity relative to gold-standard paper-and-pencil versions that have been robustly validated. Speech-to-text (STT) technology has the potential to improve the validity of digital tests through its ability to capture verbal responses, yet the effect of its performance on standardized scores used for cognitive characterization is unknown. Methods: The present study evaluated the accuracy of Apple's STT engine relative to ground-truth transcripti

SUBMITTER: Gordon AM 

PROVIDER: S-EPMC12563218 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature