3 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Restorative Speech Enhancement: A Progressive Approach Using SE and Codec Modules
Hsin-Tien Chiang, Hao Zhang, Yong Xu +2
In challenging environments with significant noise and reverberation, traditional speech enhancement (SE) methods often lead to over-suppressed speech, creating artifacts during li…
Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression
Yixuan Zhang, Hao Zhang, Meng Yu +1
Acoustic howling suppression (AHS) is a critical challenge in audio communication systems. In this paper, we propose a novel approach that leverages the power of neural networks (N…
Advancing Acoustic Howling Suppression through Recursive Training of Neural Networks
Hao Zhang, Yixuan Zhang, Meng Yu +1
In this paper, we introduce a novel training framework designed to comprehensively address the acoustic howling issue by examining its fundamental formation process. This framework…
Unifying Robustness and Fidelity: A Comprehensive Study of Pretrained Generative Methods for Speech Enhancement in Adverse Conditions
Heming Wang, Meng Yu, Hao Zhang +5
Enhancing speech signal quality in adverse acoustic environments is a persistent challenge in speech processing. Existing deep learning based enhancement methods often struggle to…