2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
Deep Learning for Joint Acoustic Echo and Acoustic Howling Suppression in Hybrid Meetings
Hao Zhang, Meng Yu, Dong Yu
Hybrid meetings have become increasingly necessary during the post-COVID period and also brought new challenges for solving audio-related problems. In particular, the interplay bet…