most citedMulti-Channel and Multi-Microphone Acoustic Echo Cancellation Using A Deep Learning Based Approach

3 citations · 3 across the 1 of their papers we have counts for

collaborators
Showing eess.ASShow all

3 papers · 1 filter

eess.AS2023

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…

eess.AS2023

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…

eess.AS2021★ 3 cited

Multi-Channel and Multi-Microphone Acoustic Echo Cancellation Using A Deep Learning Based Approach

Hao Zhang, DeLiang Wang

Building on the deep learning based acoustic echo cancellation (AEC) in the single-loudspeaker (single-channel) and single-microphone setup, this paper investigates multi-channel A…