Advances in automated speech transcription during cognitive testing
CASR achieves near-human transcription accuracy, flags potentially unreliable transcripts, and reduces demographic bias, demonstrating its utility and robustness in high-stakes cognitive assessments.
Authors
- Timothy J. Herron (ORCID: https://orcid.org/0000-0002-4297-014X)
- Kathleen Hall
- Michael Blank
- David L. Woods (ORCID: https://orcid.org/0000-0002-8804-3587)
- Peter Pebler
- Kristin Geraci
- Evan Richards
- Andrew L Boghossian
- David K Johnson
- Isabella Jaramillo
Institutions
- Neurobehavioral Systems (US)
- Alzheimer’s Disease Neuroimaging Initiative (US)
- VA Northern California Health Care System (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108225
- Primary Topic
- Speech Recognition and Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00