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.
Recommended Citation
Trawicki, Marek B. and Johnson, Michael T., "Improvements of the Beta-Order Minimum Mean-Square Error (MMSE) Spectral Amplitude Estimator using Chi Priors" (2012). Electrical and Computer Engineering Faculty Research and Publications. 74.
https://epublications.marquette.edu/electric_fac/74
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. DOI. © 2012 International Speech Communication Association. Used with permission.