1 citations · 1 across the 3 of their papers we have counts for
4 papers
Noise-Aware Lombard Speech Synthesis via Flow-GRPO for Intelligibility Optimization
Zhaoyang Wang, Dingding Yao, Chengzhong Wang +1
Voice-based conversational agents are increasingly deployed in real-world settings, where environmental noise often degrades the interactive experience. Therefore, robust acoustic…
Backdooring Masked Diffusion Language Models
Daniel Yiming Cao, Chengzhong Wang, Sheng-Yen Chou +3
Masked diffusion language models (MDLMs) are emerging as a compelling new paradigm for text generation, but their training-time security remains largely unexplored. Existing backdo…
Global Rotation Equivariant Phase Modeling for Speech Enhancement with Deep Magnitude-Phase Interaction
Chengzhong Wang, Andong Li, Dingding Yao +1
While deep learning has advanced speech enhancement (SE), effective phase modeling remains challenging, as conventional networks typically operate within a flat Euclidean feature s…
GALD-SE: Guided Anisotropic Lightweight Diffusion for Efficient Speech Enhancement
Chengzhong Wang, Jianjun Gu, Dingding Yao +2
Speech enhancement is designed to enhance the intelligibility and quality of speech across diverse noise conditions. Recently, diffusion model has gained lots of attention in speec…