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arXiv · 2602.14584

CLAP-Based Automatic Word Naming Recognition in Post-Stroke Aphasia

Yacouba Kaloga·Marina Laganaro·Ina Kodrasi
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Abstract

Conventional automatic word-naming recognition systems struggle to recognize words from post-stroke patients with aphasia because of disfluencies and mispronunciations, limiting reliable automated assessment in this population. In this paper, we propose a Contrastive Language-Audio Pretraining (CLAP) based approach for automatic word-naming recognition to address this challenge by leveraging text-audio alignment. Our approach treats word-naming recognition as an audio-text matching problem, projecting speech signals and textual prompts into a shared embedding space to identify intended words even in challenging recordings. Evaluated on two speech datasets of French post-stroke patients with aphasia, our approach achieves up to 90% accuracy, outperforming existing classification-based and automatic speech recognition-based baselines.

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BibTeXRIS

Yacouba Kaloga, Marina Laganaro, Ina Kodrasi. 2026-02-16. CLAP-Based Automatic Word Naming Recognition in Post-Stroke Aphasia. https://arxiv.org/abs/2602.14584

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