Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement

Marek B. Trawicki; Michael T. Johnson

doi:doi:10.11648/j.ijtam.20160202.23

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Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement

Marek B. Trawicki, Michael T. Johnson

Published in International Journal of Theoretical and Applied Mathematics (Volume 2, Issue 2)

Received: 26 October 2016 Accepted: 26 November 2016 Published: 20 December 2016

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Abstract

In this paper, the authors propose a frequency domain multichannel Wiener filter for distributed microphone speech enhancement using acoustic arrays. The current state-of-the-art single channel estimators achieve noticeable performance gains using the to-noise ratio (SNR) and segmental signal-to-noise ratio (SSNR) objective measures, which measure noise reduction, but only achieve marginal performance gains using the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) objective metrics, which correlate better than SNR and SSNR with speech distortion and overall speech quality. By extending the traditional single channel Wiener filter to multiple distributed channels through minimum mean-square error (MMSE) estimation of the complex real and imaginary components, the approach presented here demonstrates increases in the SSNR, LLR, and PESQ objective measures. Experimental results show that the new multichannel Wiener filter using distributed microphones produces gains of 5.0 dB (SSNR improvement), 0.7 (LLR output), and 0.8 (PESQ output) averaged across the 0 dB, 5 dB, and 10 dB input SNRs over the baseline single channel Wiener filter.

Published in	International Journal of Theoretical and Applied Mathematics (Volume 2, Issue 2)
DOI	10.11648/j.ijtam.20160202.23
Page(s)	115-120
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Acoustic Arrays, Speech Enhancement, Parameter Estimation

References

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APA Style

Marek B. Trawicki, Michael T. Johnson. (2016). Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. International Journal of Theoretical and Applied Mathematics, 2(2), 115-120. https://doi.org/10.11648/j.ijtam.20160202.23

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ACS Style

Marek B. Trawicki; Michael T. Johnson. Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. Int. J. Theor. Appl. Math. 2016, 2(2), 115-120. doi: 10.11648/j.ijtam.20160202.23

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AMA Style

Marek B. Trawicki, Michael T. Johnson. Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. Int J Theor Appl Math. 2016;2(2):115-120. doi: 10.11648/j.ijtam.20160202.23

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@article{10.11648/j.ijtam.20160202.23,
  author = {Marek B. Trawicki and Michael T. Johnson},
  title = {Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement},
  journal = {International Journal of Theoretical and Applied Mathematics},
  volume = {2},
  number = {2},
  pages = {115-120},
  doi = {10.11648/j.ijtam.20160202.23},
  url = {https://doi.org/10.11648/j.ijtam.20160202.23},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20160202.23},
  abstract = {In this paper, the authors propose a frequency domain multichannel Wiener filter for distributed microphone speech enhancement using acoustic arrays. The current state-of-the-art single channel estimators achieve noticeable performance gains using the to-noise ratio (SNR) and segmental signal-to-noise ratio (SSNR) objective measures, which measure noise reduction, but only achieve marginal performance gains using the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) objective metrics, which correlate better than SNR and SSNR with speech distortion and overall speech quality. By extending the traditional single channel Wiener filter to multiple distributed channels through minimum mean-square error (MMSE) estimation of the complex real and imaginary components, the approach presented here demonstrates increases in the SSNR, LLR, and PESQ objective measures. Experimental results show that the new multichannel Wiener filter using distributed microphones produces gains of 5.0 dB (SSNR improvement), 0.7 (LLR output), and 0.8 (PESQ output) averaged across the 0 dB, 5 dB, and 10 dB input SNRs over the baseline single channel Wiener filter.},
 year = {2016}
}

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TY  - JOUR
T1  - Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement
AU  - Marek B. Trawicki
AU  - Michael T. Johnson
Y1  - 2016/12/20
PY  - 2016
N1  - https://doi.org/10.11648/j.ijtam.20160202.23
DO  - 10.11648/j.ijtam.20160202.23
T2  - International Journal of Theoretical and Applied Mathematics
JF  - International Journal of Theoretical and Applied Mathematics
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AB  - In this paper, the authors propose a frequency domain multichannel Wiener filter for distributed microphone speech enhancement using acoustic arrays. The current state-of-the-art single channel estimators achieve noticeable performance gains using the to-noise ratio (SNR) and segmental signal-to-noise ratio (SSNR) objective measures, which measure noise reduction, but only achieve marginal performance gains using the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) objective metrics, which correlate better than SNR and SSNR with speech distortion and overall speech quality. By extending the traditional single channel Wiener filter to multiple distributed channels through minimum mean-square error (MMSE) estimation of the complex real and imaginary components, the approach presented here demonstrates increases in the SSNR, LLR, and PESQ objective measures. Experimental results show that the new multichannel Wiener filter using distributed microphones produces gains of 5.0 dB (SSNR improvement), 0.7 (LLR output), and 0.8 (PESQ output) averaged across the 0 dB, 5 dB, and 10 dB input SNRs over the baseline single channel Wiener filter.
VL  - 2
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Author Information

Marek B. Trawicki

Department of Electrical and Computer Engineering, Marquette University, Milwaukee, USA
Michael T. Johnson

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

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APA Style

Marek B. Trawicki, Michael T. Johnson. (2016). Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. International Journal of Theoretical and Applied Mathematics, 2(2), 115-120. https://doi.org/10.11648/j.ijtam.20160202.23

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ACS Style

Marek B. Trawicki; Michael T. Johnson. Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. Int. J. Theor. Appl. Math. 2016, 2(2), 115-120. doi: 10.11648/j.ijtam.20160202.23

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AMA Style

Marek B. Trawicki, Michael T. Johnson. Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement. Int J Theor Appl Math. 2016;2(2):115-120. doi: 10.11648/j.ijtam.20160202.23

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@article{10.11648/j.ijtam.20160202.23,
  author = {Marek B. Trawicki and Michael T. Johnson},
  title = {Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement},
  journal = {International Journal of Theoretical and Applied Mathematics},
  volume = {2},
  number = {2},
  pages = {115-120},
  doi = {10.11648/j.ijtam.20160202.23},
  url = {https://doi.org/10.11648/j.ijtam.20160202.23},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtam.20160202.23},
  abstract = {In this paper, the authors propose a frequency domain multichannel Wiener filter for distributed microphone speech enhancement using acoustic arrays. The current state-of-the-art single channel estimators achieve noticeable performance gains using the to-noise ratio (SNR) and segmental signal-to-noise ratio (SSNR) objective measures, which measure noise reduction, but only achieve marginal performance gains using the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) objective metrics, which correlate better than SNR and SSNR with speech distortion and overall speech quality. By extending the traditional single channel Wiener filter to multiple distributed channels through minimum mean-square error (MMSE) estimation of the complex real and imaginary components, the approach presented here demonstrates increases in the SSNR, LLR, and PESQ objective measures. Experimental results show that the new multichannel Wiener filter using distributed microphones produces gains of 5.0 dB (SSNR improvement), 0.7 (LLR output), and 0.8 (PESQ output) averaged across the 0 dB, 5 dB, and 10 dB input SNRs over the baseline single channel Wiener filter.},
 year = {2016}
}

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TY  - JOUR
T1  - Multichannel MMSE Wiener Filter Using Complex Real and Imaginary Spectral Coefficients for Distributed Microphone Speech Enhancement
AU  - Marek B. Trawicki
AU  - Michael T. Johnson
Y1  - 2016/12/20
PY  - 2016
N1  - https://doi.org/10.11648/j.ijtam.20160202.23
DO  - 10.11648/j.ijtam.20160202.23
T2  - International Journal of Theoretical and Applied Mathematics
JF  - International Journal of Theoretical and Applied Mathematics
JO  - International Journal of Theoretical and Applied Mathematics
SP  - 115
EP  - 120
PB  - Science Publishing Group
SN  - 2575-5080
UR  - https://doi.org/10.11648/j.ijtam.20160202.23
AB  - In this paper, the authors propose a frequency domain multichannel Wiener filter for distributed microphone speech enhancement using acoustic arrays. The current state-of-the-art single channel estimators achieve noticeable performance gains using the to-noise ratio (SNR) and segmental signal-to-noise ratio (SSNR) objective measures, which measure noise reduction, but only achieve marginal performance gains using the Log-Likelihood Ratio (LLR) and Perceptual Evaluation of Speech Quality (PESQ) objective metrics, which correlate better than SNR and SSNR with speech distortion and overall speech quality. By extending the traditional single channel Wiener filter to multiple distributed channels through minimum mean-square error (MMSE) estimation of the complex real and imaginary components, the approach presented here demonstrates increases in the SSNR, LLR, and PESQ objective measures. Experimental results show that the new multichannel Wiener filter using distributed microphones produces gains of 5.0 dB (SSNR improvement), 0.7 (LLR output), and 0.8 (PESQ output) averaged across the 0 dB, 5 dB, and 10 dB input SNRs over the baseline single channel Wiener filter.
VL  - 2
IS  - 2
ER  -

Copy | Download