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eess.AS2026
Joint Learning of Covariance Estimation and White Noise Gain for Robust MVDR Beamforming
Yongyi Deng, Hanchen Pei, Jianbo Ma +3
The minimum variance distortionless response (MVDR) beamformer is widely used for multichannel speech enhancement due to strong noise suppression while preserving target signals. I…
eess.AS2025
Spatial-Filter-Bank-Based Neural Method for Multichannel Speech Enhancement
Tianqin Zheng, Jilu Jin, Hanchen Pei +3
The performance of deep learning-based multi-channel speech enhancement methods often deteriorates when the geometric parameters of the microphone array change. Traditional approac…
eess.AS2025
LMFCA-Net: A Lightweight Model for Multi-Channel Speech Enhancement with Efficient Narrow-Band and Cross-Band Attention
Yaokai Zhang, Hanchen Pei, Wanqi Wang +1
Deep learning based end-to-end multi-channel speech enhancement methods have achieved impressive performance by leveraging sub-band, cross-band, and spatial information. However, t…