Speech segregation based on sound localization.

  title={Speech segregation based on sound localization.},
  author={Nicoleta Roman and DeLiang Wang and Guy J. Brown},
  journal={The Journal of the Acoustical Society of America},
  volume={114 4 Pt 1},
At a cocktail party, one can selectively attend to a single voice and filter out all the other acoustical interferences. How to simulate this perceptual ability remains a great challenge. This paper describes a novel, supervised learning approach to speech segregation, in which a target speech signal is separated from interfering sounds using spatial localization cues: interaural time differences (ITD) and interaural intensity differences (IID). Motivated by the auditory masking effect, the… CONTINUE READING
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