collaborators

7 papers

cs.AI2026

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment

Xiaoliang Wu, Qiyang Sun, Yupei Li +3

Dysarthria severity assessment is essential for therapy planning and longitudinal monitoring, yet manual perceptual rating is time-consuming and variable across clinicians. Althoug…

cs.SD2026

Phonetic Error Analysis of Raw Waveform Acoustic Models

Erfan Loweimi, Zhengjun Yue, Andrea Carmantini +3

We analyse error patterns of raw waveform acoustic models on TIMIT phone recognition beyond the overall phone error rate (PER). PER is decomposed across three broad phonetic class…

cs.CL2026

To Be Multimodal or Not to Be: Query-Adaptive Audio-Visual Person Retrieval via Active Modality Detection

Erfan Loweimi, Mengjie Qian, Kate Knill +7

When retrieving a person from a video archive by voice and face, should the system be multimodal or not? In real-world broadcast archives, unlike curated benchmarks, a target may b…

cs.CL2026

Predicting Psychological Well-Being from Spontaneous Speech using LLMs

Erfan Loweimi, Sofia de la Fuente Garcia, Saturnino Luz

We investigate the use of Large Language Models (LLMs) for zero-shot prediction of Ryff Psychological Well-Being (PWB) scores from spontaneous speech. Using a few minutes of voice…

cs.CL2026

Can We Trust LLMs for Mental Health Screening? Consistency, ASR Robustness, and Evidence Faithfulness

Erfan Loweimi, Sofia de la Fuente Garcia, Samira Loveymi +2

LLMs can estimate Hospital Anxiety and Depression Scale (HADS) scores from speech in a zero-shot manner, but clinical deployment requires reliability across three dimensions: intra…

eess.AS2025

Probing Whisper for Dysarthric Speech in Detection and Assessment

Zhengjun Yue, Devendra Kayande, Zoran Cvetkovic +1

Large-scale end-to-end models such as Whisper have shown strong performance on diverse speech tasks, but their internal behavior on pathological speech remains poorly understood. U…