• Corpus ID: 244920849

A Time-domain Generalized Wiener Filter for Multi-channel Speech Separation

@article{Luo2021ATG,
  title={A Time-domain Generalized Wiener Filter for Multi-channel Speech Separation},
  author={Yi Luo},
  journal={ArXiv},
  year={2021},
  volume={abs/2112.03533}
}
  • Yi Luo
  • Published 7 December 2021
  • Engineering
  • ArXiv
Frequency-domain neural beamformers are the mainstream methods for recent multi-channel speech separation models. Despite their well-defined behaviors and the effectiveness, such frequencydomain beamformers still have the limitations of a bounded oracle performance and the difficulties of designing proper networks for the complex-valued operations. In this paper, we propose a timedomain generalized Wiener filter (TD-GWF), an extension to the conventional frequency-domain beamformers that has… 

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