works on

From the 1 of 20 linked papers with an AI index.

activity
20242026
collaborators

20 papers

cs.SD2026

CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection

Qiyang Sun, Yi Chang, Yupei Li +3

The paper introduces CHARM, a training-free framework that calibrates large language model predictions and fuses prosodic acoustic cues to improve zero-shot multimodal sarcasm dete…

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.CL2026

XAI-Grounded Explanation Generation for Speech Deepfake Detection with Training-Free Multimodal Large Language Models

Yupei Li, Qiyang Sun, Xiaoliang Wu +3

Speech deepfake detection (SDD) systems require trustworthy explanations for reliable decision-making. Existing explanation ways mainly fall into two categories. Traditional explai…

cs.SD2026

The Affective Bridge: Preserving Speech Representations while Enhancing Deepfake Detection vian emotional Constraints

Yupei Li, Chenyang Lyu, Longyue Wang +4

Speech deepfake detection (DFD) has benefited from diverse acoustic and semantic speech representations, many of which encode valuable speech information and are costly to train. P…

cs.SD2026

Explainable Detection of Machine Generated Music and Early Systematic Evaluation

Yupei Li, Qiyang Sun, Hanqian Li +2

Machine-generated music (MGM) has become a groundbreaking innovation with wide-ranging applications, such as music therapy, personalised editing, and creative inspiration within th…

eess.AS2026

Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias

Tomisin Ogunnubi, Yupei Li, Björn Schuller

Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fa…