Co-talker Separation Using the 'Cocktail Party Effect'

Cao Y, Sridharan S, Moody M. Co-talker Separation Using the 'Cocktail Party Effect'. J Audio Eng Soc. 1996;44(12):1084-1096. Available from: https://aes.org/publications/elibrary-page/?id=7875

@article{Cao1996_7875,
  author = {Cao, Yuchang and Sridharan, Sridha and Moody, Miles},
  title = {{Co-talker Separation Using the 'Cocktail Party Effect'}},
  journal = {Journal of the Audio Engineering Society},
  volume = {44},
  number = {12},
  pages = {1084--1096},
  year = {1996},
  month = dec,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=7875}
}

TY  - JOUR
TI  - Co-talker Separation Using the 'Cocktail Party Effect'
AU  - Cao, Yuchang
AU  - Sridharan, Sridha
AU  - Moody, Miles
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 44
IS  - 12
SP  - 1084
EP  - 1096
PY  - 1996
DA  - 1996/12/06
UR  - https://aes.org/publications/elibrary-page/?id=7875
PB  - Audio Engineering Society
LA  - en
AB  - An artificial neural network (ANN) speech-classifier-controlled iterative filtering system is described, which simulates the cocktail party effect for speech separation. The ANN speech classifier controls a modified iterative Wiener filter to cancel the interference by setting the filter's parameter's and the convergence criterion for the iteration. The proposed system has been employed successfully with multiple-microphone speech acquisition systems for co-talker speech separation. The simulation results have shown that the iterative processing controlled by the neural network consistently provides speech of good quality and intelligibility.
ER  -