10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Log-Spectral Magnitude MMSE Estimators Under Super-Gaussian Densities

Richard C. Hendriks (1), Richard Heusdens (1), Jesper Jensen (2)

(1) Technische Universiteit Delft, The Netherlands
(2) Oticon A/S, Denmark

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.

Full Paper

Bibliographic reference.  Hendriks, Richard C. / Heusdens, Richard / Jensen, Jesper (2009): "Log-spectral magnitude MMSE estimators under super-Gaussian densities", In INTERSPEECH-2009, 1319-1322.