TL;DR
This work analyzed brief story retellings from 86 patients with left-hemisphere stroke and derived discrete linguistic features and embeddings with Large Language Models, providing proof of concept for a fast, largely automated discourse screener of acute LI.
Dementia affects more than 55 million people worldwide, and mild cognitive impairment (MCI) represents a critical window for early intervention. However, current neuropsychological assessments require specialist expertise and extended administration time, limiting their scalability for population-level screening....
This work systematically evaluates edge-oriented ASR-LLM pipelines for individuals with language impairments using comparison studies and ablation experiments across aphasia, child language impairment, and dementia datasets to identify transcript errors, repetition, noise, and input length as factors affecting system p...
Alzheimer's disease (AD) and mild cognitive impairment (MCI), which may precede AD, manifest early through subtle linguistic and acoustic alterations. Traditional diagnostics, however, are often resource-intensive and lack scalability for mass screening. To address these challenges, we introduce a novel bilingual speec...
A layer-wise analysis of nine SSL speech backbones using a low-capacity logistic regression probe reveals that the transferred discriminative signal lacks pathological specificity, highlighting critical limitations that must be addressed before speech-based pathology recognition models can be reliably deployed in clini...
A computational model that grades repetition severity from clinical speech recordings, evaluated on 480 audio samples from 60 adult speakers with persistent developmental stuttering, supports its use as a clinical decision-support tool.
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...
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