Improving Speech Intelligibility in Noise Using a Binary Mask That Is Based on Magnitude Spectrum Constraints

@article{Kim2010ImprovingSI,
  title={Improving Speech Intelligibility in Noise Using a Binary Mask That Is Based on Magnitude Spectrum Constraints},
  author={Gibak Kim and Philipos C. Loizou},
  journal={IEEE Signal Processing Letters},
  year={2010},
  volume={17},
  pages={1010-1013}
}
A new binary mask is introduced for improving speech intelligibility based on magnitude spectrum constraints. The proposed binary mask is designed to retain time-frequency (T-F) units of the mixture signal satisfying a magnitude constraint while discarding T-F units violating the constraint. Motivated by prior intelligibility studies of speech synthesized using the ideal binary mask, an algorithm is proposed that decomposes the input signal into T-F units and makes binary decisions, based on a… CONTINUE READING
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