Beta-order minimum mean-square error multichannel spectral amplitude estimation for speech enhancement

M. B. Trawicki, M. T. Johnson

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


In this paper, the minimum mean-square error (MMSE) β-order estimator for multichannel speech enhancement is proposed. The estimator is an extension of the single-channel MMSE β-order and multichannel MMSE short-time spectral amplitude estimators using Rayleigh and Gaussian distributions for the statistical models under the assumption of a diffuse noise field where the noise is estimated independently across each of the microphones. Experiments are performed to evaluate the new estimator against the baseline single-channel and multichannel estimators using various values of the β parameter and number of microphones along with different levels of noises as a function of the input signal-to-noise ratio. By the utilization of additional microphones, the multichannel MMSE β-order estimator achieves performance gains in noise reduction, speech distortion, and speech quality as measured by the segmental signal-to-noise ratio, log-likelihood ratio, and perceptual evaluation of speech quality objective metrics.

Original languageEnglish
Pages (from-to)1287-1295
Number of pages9
JournalInternational Journal of Adaptive Control and Signal Processing
Issue number10
StatePublished - Oct 2015

Bibliographical note

Publisher Copyright:
Copyright © 2015 John Wiley & Sons, Ltd.


  • acoustic arrays
  • parameter estimation
  • speech enhancement

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Electrical and Electronic Engineering


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