ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Log-spectral magnitude MMSE estimators under super-Gaussian densities

Richard C. Hendriks, Richard Heusdens, Jesper Jensen

Despite the fact that histograms of speech DFT coefficients are super-Gaussian, not much attention has been paid to develop estimators under these super-Gaussian distributions in combination with perceptual meaningful distortion measures. In this paper we present log-spectral magnitude MMSE estimators under super- Gaussian densities, resulting in an estimator that is perceptually more meaningful and in line with measured histograms of speech DFT coefficients. Compared to state-of-the-art reference methods, the presented estimator leads to an improvement of the segmental SNR in the order of 0.5 dB up to 1 dB. Moreover, listening tests show that the proposed estimator leads to significant improvement for the presented estimator over state-of-the-art methods.

doi: 10.21437/Interspeech.2009-411

Cite as: Hendriks, R.C., Heusdens, R., Jensen, J. (2009) Log-spectral magnitude MMSE estimators under super-Gaussian densities. Proc. Interspeech 2009, 1319-1322, doi: 10.21437/Interspeech.2009-411

  author={Richard C. Hendriks and Richard Heusdens and Jesper Jensen},
  title={{Log-spectral magnitude MMSE estimators under super-Gaussian densities}},
  booktitle={Proc. Interspeech 2009},