Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors

Marek B. Trawicki; Michael T. Johnson

Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors

Marek B. Trawicki, Michael T. Johnson

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Pages	938-941
Number of pages	4
State	Published - 2012
Event	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 - Portland, OR, United States Duration: Sep 9 2012 → Sep 13 2012

Publication series

Name	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Volume	2

Conference

Conference	13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012
Country/Territory	United States
City	Portland, OR
Period	9/9/12 → 9/13/12

Keywords

Amplitude estimation
Parameter estimation
Phase estimation
Speech enhancement

ASJC Scopus subject areas

Computer Networks and Communications
Communication

Cite this

Trawicki, M. B., & Johnson, M. T. (2012). Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors. In 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012 (pp. 938-941). (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Vol. 2).

Trawicki, Marek B. ; Johnson, Michael T. / Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. 2012. pp. 938-941 (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012).

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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",

}

Trawicki, MB & Johnson, MT 2012, Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors. in 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, vol. 2, pp. 938-941, 13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012, Portland, OR, United States, 9/9/12.

Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors. / Trawicki, Marek B.; Johnson, Michael T.
13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012. 2012. p. 938-941 (13th Annual Conference of the International Speech Communication Association 2012, INTERSPEECH 2012; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Trawicki, Marek B.

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N2 - 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.

AB - 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.

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KW - Parameter estimation

KW - Phase estimation

KW - Speech enhancement

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Improvements of the beta-order minimum mean-square error (MMSE) spectral amplitude estimator using chi priors

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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