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Arxiv

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U-Mamba-Net: A highly efficient Mamba-based U-net style network for noisy and reverberant speech separation

  • U-Mamba-Net is a lightweight Mamba-based U-style model for speech separation in complex environments.
  • The model aims to address the increasing size and computational load of existing speech separation models.
  • Mamba is a state space sequence model that incorporates feature selection capabilities.
  • U-Mamba-Net achieves improved performance with low computational cost according to the results on Libri2mix.

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