activity
20242026
collaborators

26 papers

cs.SD2026

CosyEdit: Unlocking End-to-End Speech Editing Capability from Zero-Shot Text-to-Speech Models

Junyang Chen, Yuhang Jia, Hui Wang +2

Automatic speech editing aims to modify spoken content based on textual instructions, yet traditional cascade systems rely on explicit temporal alignment and complex preprocessing.…

cs.SD2026

Interpretable Audio Editing Evaluation via Chain-of-Thought Difference-Commonality Reasoning with Multimodal LLMs

Yuhang Jia, Xu Zhang, Yang Chen +3

Automatic mean opinion score (MOS) prediction serves as a principled alternative to both subjective listening tests and objective metrics, providing scalable and consistent audio e…

cs.SD2026

EchoEdit: Stabilizing Inversion-Free Audio Editing via Optimal Transport Geometry

Zhongyuan Fu, Yuhang Jia, Hui Wang +6

Text-guided audio editing with pretrained generative models is commonly implemented through inversion or noising. This topology induces a structural trade-off, as stronger edits re…

cs.SD2026

FoleyGenEx: Unified Video-to-Audio Generation with Multi-Modal Control, Temporal Alignment, and Semantic Precision

Shiyao Wang, Xijuan Zeng, Hui Wang +4

We present FoleyGenEx, a unified video-to-audio (VTA) framework integrating multi-modal control, frame-level temporal alignment, and fine-grained semantics, enabling synchronized,…

cs.CL2026

To Be Multimodal or Not to Be: Query-Adaptive Audio-Visual Person Retrieval via Active Modality Detection

Erfan Loweimi, Mengjie Qian, Kate Knill +7

When retrieving a person from a video archive by voice and face, should the system be multimodal or not? In real-world broadcast archives, unlike curated benchmarks, a target may b…

eess.AS2026

UAT: Unified Audio-Text Diffusion for Audio Generation, Editing, and Captioning

Hui Wang, Yifan Yang, Zeyue Tian +8

Audio generation and audio-to-text understanding remain largely separate, with diffusion models dominating high-fidelity synthesis and autoregressive (AR) language models driving c…