Enhanced Acoustic Howling Suppression via Hybrid Kalman Filter and Deep Learning Models

H Zhang, Y Zhang, M Yu, D Yu - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
This paper presents a comprehensive study addressing the challenging problem of acoustic
howling suppression (AHS) through the fusion of Kalman filter and deep learning …

Advancing acoustic howling suppression through recursive training of neural networks

H Zhang, Y Zhang, M Yu, D Yu - ICASSP 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
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 …

Neural network augmented kalman filter for robust acoustic howling suppression

Y Zhang, H Zhang, M Yu, D Yu - arxiv preprint arxiv:2309.16049, 2023 - arxiv.org
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 …

Deep learning for joint acoustic echo and acoustic howling suppression in hybrid meetings

H Zhang, M Yu, D Yu - 2023 IEEE Automatic Speech …, 2023 - ieeexplore.ieee.org
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 …

[PDF][PDF] Modified Gain Toggling Approach to Controlling Acoustic Howling

AA Ogunseye, OO Olusanya, TK Yesufu, TO Ejidokun… - academia.edu
The computational complexity requirement of an acoustic howling controller is a key factor
determining its implementability, especially on resource-constrained hardware platform. This …