Document Type

Conference Proceeding

Language

eng

Format of Original

4 p.

Publication Date

9-2012

Publisher

International Speech Communication Association

Source Publication

Interspeech 2012: 13th Annual Conference of the International Speech Communication Association

Abstract

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.

Comments

Published version. Published as part of the proceedings of the conference, Interspeech 2012: 13th Annual Conference of the International Speech Communication Association, 2012: 939-942. Permalink. © International Speech Communication Association 2012. Used with permission.

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