@inproceedings{ae68783528074bfd8c9ea79c716ee87f,
title = "Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors",
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 0-0.03 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.",
keywords = "Amplitude estimation, Parameter estimation, Phase estimation, Speech enhancement",
author = "Trawicki, \{Marek B.\} and Johnson, \{Michael T.\}",
year = "2012",
language = "English",
isbn = "9781622767595",
series = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",
pages = "938--941",
booktitle = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012",
note = "13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 ; Conference date: 09-09-2012 Through 13-09-2012",
}