Hatef Otroshi Shahreza

Augmenting Large Audio Language Models with Low-Level Acoustic Features for Dysarthric Speech Detection

Automatic dysarthric speech detection approaches can support traditional clinical diagnosis, which relies on costly and time-consuming evaluation by a speech and language pathologist. Existing automatic approaches predominantly rely on deep learning (DL). More recently, Large Audio Language Models (LALMs) have emerged...

Every Frame You Take: The Video-based Morphing Attack Detection Challenge

Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection

The experiments show that FMs and MLLMs can achieve significant performance for PAD and MAD and the fine-tuned models achieve state-of-the-art detection performance in cross-dataset evaluation, indicating that general-purpose pretrained representations carry substantial attack-relevant information.