Open access
Sep 2026
Artificial intelligence-based speech error detection to differentiate primary progressive aphasia variants
Abstract Artificial intelligence-based approaches to speech analysis have the potential to assist with objective speech error analysis in aphasia but off-the shelf tools often fail to detect speech errors due to prioritizing ‘fluent transcription’. Speech production errors (dysfluencies) are hallmark diagnostic feature...
J. Vonk, Jia-Chen Lian, G. Kurteff et al.
· Brain Communications · 0 citations