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- W1808329235 abstract "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. Copyright © 2015 John Wiley & Sons, Ltd." @default.
- W1808329235 created "2016-06-24" @default.
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- W1808329235 date "2015-01-19" @default.
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- W1808329235 title "Beta-order minimum mean-square error multichannel spectral amplitude estimation for speech enhancement" @default.
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- W1808329235 doi "https://doi.org/10.1002/acs.2534" @default.
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