3 papers
cs.SD2026
MetaSICL: Globalizing Auditory LLMs for Underserved Speakers and Languages via Meta Speech In-Context Learning
Haolong Zheng, Siyin Wang, Zengrui Jin +1
Generative AI for speech and audio is increasingly expected to serve users across languages, cultures, and communities, yet current auditory Large Language Models (LLMs) are still…
eess.AS2026
Scaling Ambiguity: Augmenting Human Annotation in Speech Emotion Recognition with Audio-Language Models
Wenda Zhang, Hongyu Jin, Siyi Wang +2
Speech Emotion Recognition models typically use single categorical labels, overlooking the inherent ambiguity of human emotions. Ambiguous Emotion Recognition addresses this by rep…
cs.SD2025
Token-Level Logits Matter: A Closer Look at Speech Foundation Models for Ambiguous Emotion Recognition
Jule Valendo Halim, Siyi Wang, Hong Jia +1
Emotional intelligence in conversational AI is crucial across domains like human-computer interaction. While numerous models have been developed, they often overlook the complexity…