1 citations · 1 across the 5 of their papers we have counts for
6 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…
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…
StreamAAD: Decoding Spatial Auditory Attention with a Streaming Architecture
Zelin Qiu, Dingding Yao, Junfeng Li
In this paper, we present our approach for the Track 1 of the Chinese Auditory Attention Decoding (Chinese AAD) Challenge at ISCSLP 2024. Most existing spatial auditory attention d…
Enhancing spatial auditory attention decoding with neuroscience-inspired prototype training
Zelin Qiu, Jianjun Gu, Dingding Yao +1
The spatial auditory attention decoding (Sp-AAD) technology aims to determine the direction of auditory attention in multi-talker scenarios via neural recordings. Despite the succe…
A Novel Blind Source Separation Framework Towards Maximum Signal-To-Interference Ratio
Jianju Gu, Longbiao Cheng, Dingding Yao +2
This letter proposes a new blind source separation (BSS) framework termed minimum variance independent component analysis (MVICA), which can potentially achieve the maximum output…