Generalized Wiener filtering with fractional power spectrograms

@article{Liutkus2015GeneralizedWF,
  title={Generalized Wiener filtering with fractional power spectrograms},
  author={Antoine Liutkus and Roland Badeau},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={266-270}
}
  • Antoine Liutkus, Roland Badeau
  • Published 2015
  • Computer Science, Mathematics
  • 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • In the recent years, many studies have focused on the single-sensor separation of independent waveforms using so-called soft-masking strategies, where the short term Fourier transform of the mixture is multiplied element-wise by a ratio of spectrogram models. When the signals are wide-sense stationary, this strategy is theoretically justified as an optimal Wiener filtering: the power spectrograms of the sources are supposed to add up to yield the power spectrogram of the mixture. However… CONTINUE READING

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