collaborators

7 papers

cs.CL2026

Vox-Infinity: Benchmarking the Limits of Long-Context Spoken Language Models

Xize Cheng, Wenxu Jia, Chenyuhao Wen +4

Long-context understanding remains a fundamental challenge for large language models, as excessively long inputs often lead models to forget salient information. This issue is even…

cs.SD2026

One-Stage Multi-Task Instruction-Guided 3D Spatial Audio Editing

Ke Lei, Chenyuhao Wen, Yu Zhang +9

Spatial audio editing modifies an existing soundfield according to a user's instruction while preserving the rest of the scene. Unlike conventional audio editing, it must reason jo…

eess.AS2026

Audio Editing in the Era of Foundation Models: A Survey

Changhao Pan, Yifei Fan, Fan Zhuo +13

Audio editing aims to modify a given synthetic or real-world audio signal to satisfy specific user needs. As a promising yet challenging direction in AIGC, it has attracted increas…

eess.AS2026

A Survey of Full-Duplex Spoken Dialogue Systems: Architectural Hierarchy, Interaction Ontology, and Decision State Machine

Jingyu Lu, Yuhan Wang, Jianming Luo +15

More than a dozen spoken dialogue systems have recently claimed to be "full-duplex," yet the term has been used to describe substantially different capabilities. Existing surveys c…

eess.AS2026

Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios

Changhao Pan, Rui Yang, Han Wang +12

Recent advances in speech generation have enabled high-fidelity synthesis, yet systematic evaluation of models under long-context conditions remains largely underexplored. A compre…

cs.LG2026

Cross-Modal Generation: From Commodity WiFi to High-Fidelity mmWave and RFID Sensing

Zhixiong Yang, Long Jing, Yao Li +3

AIGC has shown remarkable success in CV and NLP, and has recently demonstrated promising potential in the wireless domain. However, significant data imbalance exists across RF moda…

eess.AS2026

SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness

Jingyu Lu, Yuhan Wang, Fan Zhuo +7

The rapid evolution of end-to-end spoken dialogue systems demands transcending mere textual semantics to incorporate paralinguistic nuances and the spontaneous nature of human conv…