Coupled dictionary training for exemplar-based speech enhancement

@article{Baby2014CoupledDT,
  title={Coupled dictionary training for exemplar-based speech enhancement},
  author={Deepak Baby and Tuomas Virtanen and Tom Barker and Hugo Van hamme},
  journal={2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2014},
  pages={2883-2887}
}
In exemplar-based speech enhancement systems, lower dimensional features are preferred over the full-scale DFT features for their reduced computational complexity and the ability to better generalize for the unseen cases. But in order to obtain the Wiener-like filter for noisy DFT enhancement, the speech and noise estimates obtained in the feature space need to be mapped to the DFT space, which yield a low-rank approximation of the estimates resulting in a sub-optimal filter. This paper… CONTINUE READING
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