An iterative model-based approach to cochannel speech separation

@article{Hu2013AnIM,
  title={An iterative model-based approach to cochannel speech separation},
  author={Ke Hu and DeLiang Wang},
  journal={EURASIP J. Audio, Speech and Music Processing},
  year={2013},
  volume={2013},
  pages={14}
}
Cochannel speech separation aims to separate two speech signals from a single mixture. In a supervised scenario, the identities of two speakers are given, and current methods use pre-trained speaker models for separation. One issue in model-based methods is the mismatch between training and test signal levels. We propose an iterative algorithm to adapt speaker models to match the signal levels in testing. Our algorithm first obtains initial estimates of source signals using unadapted speaker… CONTINUE READING

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