Separation of speech from interfering sounds based on oscillatory correlation

  title={Separation of speech from interfering sounds based on oscillatory correlation},
  author={DeLiang Wang and Guy J. Brown},
  journal={IEEE transactions on neural networks},
  volume={10 3},
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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