INTERSPEECH 2012
13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude Estimator Using Chi Priors

Marek Trawicki, Michael Johnson

1Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI, USA

In this paper, the authors propose the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude estimator with Chi statistical models for the speech priors. The new estimator incorporates both a shape parameter on the distribution and cost function parameter. The performance of the MMSE Beta-Order Spectral Amplitude estimator with Chi speech prior is evaluated using the Segmental Signal-to- Noise Ratio (SSNR) and Perceptual Evaluation of Speech Quality (PESQ) objective quality measures. From the experimental results, the new estimator provides gains of 0-3 dB and 0-0.3 in SSNR and PESQ improvements over the corresponding MMSE Beta-Order MMSE Spectral Amplitude estimator with the standard Rayleigh statistical models for the speech prior.

Index Terms: speech enhancement, amplitude estimation, phase estimation, parameter estimation

Full Paper

Bibliographic reference.  Trawicki, Marek / Johnson, Michael (2012): "Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors", In INTERSPEECH-2012, 939-942.