Speech intelligibility in background noise with ideal binary time-frequency masking.

@article{Wang2009SpeechII,
  title={Speech intelligibility in background noise with ideal binary time-frequency masking.},
  author={D. Wang and U. Kjems and M. Pedersen and J. B. Boldt and T. Lunner},
  journal={The Journal of the Acoustical Society of America},
  year={2009},
  volume={125 4},
  pages={
          2336-47
        }
}
  • D. Wang, U. Kjems, +2 authors T. Lunner
  • Published 2009
  • Computer Science, Medicine
  • The Journal of the Acoustical Society of America
  • Ideal binary time-frequency masking is a signal separation technique that retains mixture energy in time-frequency units where local signal-to-noise ratio exceeds a certain threshold and rejects mixture energy in other time-frequency units. Two experiments were designed to assess the effects of ideal binary masking on speech intelligibility of both normal-hearing (NH) and hearing-impaired (HI) listeners in different kinds of background interference. The results from Experiment 1 demonstrate… CONTINUE READING
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