collaborators

17 papers

cs.SD2026

SoundscapeAgent: Agentic Soundscape Construction for Controllable Synthesis and Scalable Audio-Language Supervision

Hao Zhang, Yiwen Zhao, Yixuan Zhang +2

We present an agentic soundscape construction framework for controllable compositional audio generation that makes explicit the scene planning, source selection, temporal layout, a…

eess.AS2026

TagSpeech: End-to-End Multi-Speaker ASR and Diarization with Fine-Grained Temporal Grounding

Mingyue Huo, Yiwen Shao, Yuheng Zhang

We present TagSpeech, a unified LLM-based framework that utilizes Temporal Anchor Grounding for joint multi-speaker ASR and diarization. The framework is built on two key designs:…

eess.AS2026

Revisiting Audio-language Pretraining for Learning General-purpose Audio Representation

Wei-Cheng Tseng, Xuanru Zhou, Mingyue Huo +3

Audio-language pretraining (ALP) holds promise for learning general-purpose audio representation, yet remains underexplored. Crucially, there is no consensus on whether audio-langu…

eess.AS2026

Spatial-Omni: Spatial Audio Understanding Integration in Multimodal LLMs via FOA Encoding

Zhiyuan Zhu, Yixuan Chen, Yiwen Shao +13

Recent multimodal large language models mainly process audio as monaural signals, thereby discarding the spatial cues contained in spatial audio for sound localization, spatial rel…

cs.CV2026

JAEGER: Joint 3D Audio-Visual Grounding and Reasoning in Simulated Physical Environments

Zhan Liu, Changli Tang, Yuxin Wang +7

Current audio-visual large language models (AV-LLMs) are predominantly restricted to 2D perception, relying on RGB video and monaural audio. This design choice introduces a fundame…

cs.CL2026

Escape the Language Prior: Mitigating Late-Stage Modality Collapse in Audio Reasoning via Modality-Aware Policy Optimization

Cihan Xiao, Yiwen Shao, Chenxing Li +5

Audio and omni-modal large language models exhibit impressive cross-modal reasoning capabilities. However, applying standard reinforcement learning post-training algorithms to thes…