@InProceedings{6951971,
  author = {A. Kuklasiński and S. Doclo and S. H. Jensen and J. Jensen},
  booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
  title = {Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids},
  year = {2014},
  pages = {61-65},
  abstract = {We propose a multi-channel Wiener filter for speech dereverberation in hearing aids. The proposed algorithm uses joint maximum likelihood estimation of the speech and late reverberation spectral variances, under the assumption that the late reverberant sound field is cylindrically isotropic. The dereverberation performance of the algorithm is evaluated using computer simulations with realistic hearing aid microphone signals including head-related effects. The algorithm is shown to work well with signals reverberated both by synthetic and by measured room impulse responses, achieving improvements in the order of 0.5 PESQ points and 5 dB frequency-weighted segmental SNR.},
  keywords = {maximum likelihood estimation;microphones;reverberation;speech processing;Wiener filters;multichannel isotropic reverberation reduction;hearing aids;multichannel Wiener filter;speech dereverberation;joint maximum likelihood estimation;dereverberation performance;realistic hearing aid microphone signals;head related effects;Speech;Reverberation;Covariance matrices;Interference;Microphones;Maximum likelihood estimation;Noise;multi-channel wiener filter;maximum likelihood;speech dereverberation;isotropic;hearing aids},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925137.pdf},
}

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The proposed algorithm uses joint maximum likelihood estimation of the speech and late reverberation spectral variances, under the assumption that the late reverberant sound field is cylindrically isotropic. The dereverberation performance of the algorithm is evaluated using computer simulations with realistic hearing aid microphone signals including head-related effects. 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Jensen},\n booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},\n title = {Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids},\n year = {2014},\n pages = {61-65},\n abstract = {We propose a multi-channel Wiener filter for speech dereverberation in hearing aids. The proposed algorithm uses joint maximum likelihood estimation of the speech and late reverberation spectral variances, under the assumption that the late reverberant sound field is cylindrically isotropic. The dereverberation performance of the algorithm is evaluated using computer simulations with realistic hearing aid microphone signals including head-related effects. 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