5 citations · 9 across the 16 of their papers we have counts for
7 papers · 1 filter
CLASH: Counterfactual Auditing of Lexical and Prosodic Reliance in Spoken Sarcasm Detection
Qiyang Sun, Xudong Li, Yupei Li +4
Spoken sarcasm detectors may exploit lexical content, prosody, or their interaction, yet conventional evaluation cannot reveal which cues drive their predictions. We introduce CLAS…
Beyond Accuracy: ARIA-Rubrics for Evaluating Audio Reasoning in Large Audio Language Models
Yupei Li, Qiyang Sun, Mohamed Mady +4
Large Audio Language Models (LALMs) have shown strong performance on audio reasoning benchmarks, but accuracy alone cannot distinguish true reasoning from superficial pattern match…
Perceptible or Not? Diagnosing Passive Fingerprints for Speech Deepfake Attribution
Yupei Li, Qiyang Sun, Emmanouil Benetos +2
Passive fingerprints (intrinsic traces naturally left by generators) have been shown to enable attribution in speech deepfake detection, yet their persistence, reproducibility, and…
CHARM: Charge Calibration and Acoustic Rescue for LLM-based Multimodal Sarcasm Detection
Qiyang Sun, Yi Chang, Yupei Li +3
Sarcasm detection, the identification of discrepancies between literal and intended meaning, is a fundamental task in affective computing. However, zero-shot instruction-tuned Larg…
SIGMA: Saliency-Guided Sparse Mask Attacks for Speech Emotion Recognition
Qiyang Sun, Yi Chang, Zixing Zhang +1
Speech conveys rich emotional information. As Speech Emotion Recognition (SER) is usually deployed in privacy-sensitive and reliability-critical environments, adversarial attacks o…
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…
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…