3 papers
cs.CL2026
Per-Aetiology Contrastive Severity Embeddings with Phonological Pseudo-Labelling for Multilingual Dysarthric Speech
Bernard Muller, Antonio Armando Ortiz Barrañón, LaVonne Roberts
Most multilingual dysarthria-severity systems either train on a single aetiology-language pair or pool heterogeneous aetiologies into one label space. We test that pooling assumpti…
cs.CL2026
Phonological Subspace Collapse Is Aetiology-Specific and Cross-Lingually Stable: Evidence from 3,374 Speakers
Bernard Muller, Antonio Armando Ortiz Barrañón, LaVonne Roberts
We previously introduced a training-free method for dysarthria severity assessment based on d-prime separability of phonological feature subspaces in frozen self-supervised speech…
cs.CL2026
Training-Free Cross-Lingual Dysarthria Severity Assessment via Phonological Subspace Analysis in Self-Supervised Speech Representations
Bernard Muller, Antonio Armando Ortiz Barrañón, LaVonne Roberts
Dysarthric speech severity assessment typically requires trained clinicians or supervised models built from labelled pathological speech, limiting scalability across languages and…