Article

AI-based Speech Error Detection to Differentiate Primary Progressive Aphasia Variants

2026-02-24

Abstract excerpt

<h4>Background</h4> Artificial Intelligence (AI) 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 features of the nonfluent (nfvPPA) and logopenic (lvPPA) variants of primary progressiv...

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Literature Corpus work: 955dd5af-72b4-5f7a-aece-a3094996a018
DOI: 10.64898/2026.02.23.26346899

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