Separation of speech from interfering sounds based on oscillatory correlation

@article{Wang1999SeparationOS,
  title={Separation of speech from interfering sounds based on oscillatory correlation},
  author={DeLiang Wang and Guy J. Brown},
  journal={IEEE transactions on neural networks},
  year={1999},
  volume={10 3},
  pages={684-97}
}
A multistage neural model is proposed for an auditory scene analysis task--segregating speech from interfering sound sources. The core of the model is a two-layer oscillator network that performs stream segregation on the basis of oscillatory correlation. In the oscillatory correlation framework, a stream is represented by a population of synchronized relaxation oscillators, each of which corresponds to an auditory feature, and different streams are represented by desynchronized oscillator… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 60 references

Bregman,Auditory Scene Analysis

  • A S.
  • 1990
Highly Influential
7 Excerpts

Temporal synchronization in a neural oscillator model of primitive auditory stream segregation

  • G. J. Brown, M. P. Cooke
  • Computational Auditory Scene Analysis , D. F…
  • 1998
Highly Influential
19 Excerpts

Introduction to the Psychology of Hearing

  • B.C.J. Moore, An
  • 1997
Highly Influential
6 Excerpts

Global competition and local cooperation in a network of neural oscillators

  • D. Terman, D. L. Wang
  • Physica D, vol. 81, pp. 148–176, 1995.
  • 1995
Highly Influential
17 Excerpts

Auditory stream segregation based on oscillatory correlation

  • D. L. Wang
  • Proc. IEEE Workshop on Neural Networks for Signal…
  • 1994
Highly Influential
17 Excerpts

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