collaborators

17 papers

cs.SD2026

H-SAGE: Holistic Speaker-Aware Guided Experts for MoE-based Multi-Talker ASR

Yujie Guo, Jiaming Zhou, Yuhang Jia +2

Multi-talker Automatic Speech Recognition (MTASR) faces significant challenges in accurately transcribing overlapping speech, particularly under complex high-overlap conditions. Wh…

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…

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…

cs.SD2026

CosyEdit2: Speech-Editing-Oriented Reinforcement Learning Unlocks Better Zero-Shot TTS

Junyang Chen, Yuhang Jia, Hui Wang +3

Speech editing and zero-shot Text-to-Speech (TTS) share a similar generative foundation conditioned on speech prompts, yet speech editing demands far stricter local acoustic consis…