Back to search

Article

Automated transcription in primary progressive aphasia: Accuracy and effects on classification

2026-02-26

Abstract excerpt

<h4>INTRODUCTION</h4> Connected speech analyses can help characterize linguistic impairments in primary progressive aphasia (PPA) and classify variants, however, manual transcription of speech samples is time-consuming and expensive. Automated speech recognition (ASR) may be efficacious for transcribing PPA speech. <h4>METHODS</h4> Transcripts of picture descriptions (109 PPA, 32 healthy controls (HC)) were gene...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d636af49-ba84-5987-8d85-6949050b609c
DOI
10.64898/2026.02.24.26346981
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Automated transcription in primary progressive aphasia: Accuracy and effects on classificationDOI 10.64898/2026.02.24.26346981
Select a neighboring publication to make it the new centre.