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Per-Aetiology Contrastive Severity Embeddings with Phonological Pseudo-Labelling for Multilingual Dysarthric Speech

Paper recorded by Signals 4 on 2026-09-18 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.CL · 自然语言处理 · first seen 2026-09-21

Abstract

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 assumption with four matched HuBERT-base contrastive embedding models under a shared backbone, training recipe, corpus registry and held-out evaluation: one mixed-aetiology baseline and three aetiology-specific models for cerebr

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#10 most recent of 200 cs.CL papers we have recorded · ↑ newer: CASCADE Against Jailbreaks: Combination Across Stages with Controlled · ↓ older: World Modeling in Transformers
Cite this page: Per-Aetiology Contrastive Severity Embeddings with Phonological Pseudo-Labelling for Multilingual Dysarthric Speech: the #10 most recent of 200 cs.CL papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/per-aetiology-contrastive-severity-embeddings-with-phonological-pseudo-labelling.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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