1 citations · 1 across the 1 of their papers we have counts for
2 papers
eess.AS2022★ 1 cited
MIMO-DBnet: Multi-channel Input and Multiple Outputs DOA-aware Beamforming Network for Speech Separation
Yanjie Fu, Haoran Yin, Meng Ge +5
Recently, many deep learning based beamformers have been proposed for multi-channel speech separation. Nevertheless, most of them rely on extra cues known in advance, such as speak…
eess.AS2020
On Loss Functions and Recurrency Training for GAN-based Speech Enhancement Systems
Zhuohuang Zhang, Chengyun Deng, Yi Shen +5
Recent work has shown that it is feasible to use generative adversarial networks (GANs) for speech enhancement, however, these approaches have not been compared to state-of-the-art…