Supervised Speech Separation Based on Deep Learning: An Overview

@article{Wang2018SupervisedSS,
  title={Supervised Speech Separation Based on Deep Learning: An Overview},
  author={DeLiang Wang and Jitong Chen},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2018},
  volume={26},
  pages={1702-1726}
}
Speech separation is the task of separating target speech from background interference. Traditionally, speech separation is studied as a signal processing problem. A more recent approach formulates speech separation as a supervised learning problem, where the discriminative patterns of speech, speakers, and background noise are learned from training data. Over the past decade, many supervised separation algorithms have been put forward. In particular, the recent introduction of deep learning to… CONTINUE READING
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