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Detecting Self-Repairs from Spontaneous Speech with Prompt Ablation Across LLMs and Fine-Tuned Encoder

2026-08-25

Abstract excerpt

Self-repairs, in-utterance revisions in which a speaker abandons and reformulates their speech, are a promising interpretable marker for speech-based cognitive screening. Detecting them automatically is difficult because a self-repair is defined by its relationship to surrounding speech rather than by fixed lexical cues. On the DementiaBank ADReSS corpus, we compared the capability of generative LLMs under a five-...

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Literature Corpus work
e6932937-7ba8-5b65-9882-0175418947e4
DOI
10.64898/2026.08.21.26360471
Open publication

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Detecting Self-Repairs from Spontaneous Speech with Prompt Ablation Across LLMs and Fine-Tuned EncoderDOI 10.64898/2026.08.21.26360471
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