Preservation of Localization Cues in BSS-Based Noise Reduction: Application in Binaural Hearing Aids

@inproceedings{MarinHurtado2012PreservationOL,
  title={Preservation of Localization Cues in BSS-Based Noise Reduction: Application in Binaural Hearing Aids},
  author={Jorge I. Marin-Hurtado and David V. Anderson},
  year={2012}
}
For speech applications, blind source separation provides an efficient strategy to enhance the target signal and to reduce the background noise in a noisy environment. Most ICA-based blind source separation (BSS) algorithms are designed under the assumption that the target and interfering signals are spatially located. When the number of interfering signals is small, one of the BSS outputs is expected to provide an excellent estimation of the target signal. Hence, the overall algorithm behaves… CONTINUE READING

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