collaborators

5 papers

cs.SD2026

APRVOS: 1st Place Winner of 5th PVUW MeViS-Audio Track

Deshui Miao, Yameng Gu, Chao Yang +3

This report presents an Audio-aware Referring Video Object Segmentation (Ref-VOS) pipeline tailored to the MEVIS\_Audio setting, where the referring expression is provided in spoke…

cs.SD2026

Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

Sreyan Ghosh, Arushi Goel, Kaousheik Jayakumar +15

We present Audio Flamingo Next (AF-Next), the next-generation and most capable large audio-language model in the Audio Flamingo series, designed to advance understanding and reason…

eess.AS2026

How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation

Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang +13

Large language models (LLMs) have been widely used as knowledge backbones of Large Audio Language Models (LALMs), yet how much auditory knowledge they encode through text-only pre-…

eess.AS2025

Revise, Reason, and Recognize: LLM-Based Emotion Recognition via Emotion-Specific Prompts and ASR Error Correction

Yuanchao Li, Yuan Gong, Chao-Han Huck Yang +2

Annotating and recognizing speech emotion using prompt engineering has recently emerged with the advancement of Large Language Models (LLMs), yet its efficacy and reliability remai…

eess.AS2025

UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation

Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang +5

Pre-training and representation learning have been playing an increasingly important role in modern speech processing. Nevertheless, different applications have been relying on dif…