Towards Unsupervised Single-channel Blind Source Separation Using Adversarial Pair Unmix-and-remix

@article{Hoshen2019TowardsUS,
  title={Towards Unsupervised Single-channel Blind Source Separation Using Adversarial Pair Unmix-and-remix},
  author={Yedid Hoshen},
  journal={ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2019},
  pages={3272-3276}
}
  • Yedid Hoshen
  • Published 2019
  • Computer Science, Engineering, Mathematics
  • ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Blind single-channel source separation is a long standing signal processing challenge. Many methods were proposed to solve this task utilizing multiple signal priors such as low rank, sparsity, temporal continuity etc. The recent advance of generative adversarial models presented new opportunities in signal regression tasks. The power of adversarial training however has not yet been realized for blind source separation tasks. In this work, we propose a novel method for blind source separation… Expand
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