3 citations · 3 across the 3 of their papers we have counts for
4 papers
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…
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…
An interpretable speech foundation model for depression detection by revealing prediction-relevant acoustic features from long speech
Qingkun Deng, Saturnino Luz, Sofia de la Fuente Garcia
Speech-based depression detection tools could aid early screening. Here, we propose an interpretable speech foundation model approach to enhance the clinical applicability of such…
Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency
Hiroshi Tanaka, Anika Rao, Hana Satou +2
Multimodal Large Models (MLLMs) have achieved remarkable progress in vision-language understanding and generation tasks. However, existing MLLMs typically rely on static modality f…