ROBUST MMSE FILTERING FOR SINGLE-MICROPHONE SPEECH ENHANCEMENT

被引：0

作者：

Enzner, Gerald ^{[1
]}

Thuene, Philipp ^{[1
]}

机构：

[1] Ruhr Univ Bochum, Adapt Syst Lab, D-44780 Bochum, Germany

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

optimum filtering; speech enhancement; SPECTRAL AMPLITUDE ESTIMATOR; SQUARE ERROR ESTIMATION; NOISE-REDUCTION; MUSICAL NOISE; SUPPRESSION; SUBTRACTION; EPHRAIM; PRIORS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

MMSE filtering of signals contaminated with additive noise is addressed with explicit uncertainty of the second-order target signal statistics. The unfortunate lack of stationarity of speech, and hence the phenomenon of musical noise in speech enhancement, is an ideal problem for the proposed approach. Specifically, we complement the established short-time power-spectral subtraction for speech power estimation with a prior of the momentary speech-power level. The MMSE estimator for Gaussian speech amplitudes is then derived under these circumstances. The potential for the enhancement of noisy speech is briefly demonstrated by SNR and PESQ analysis.

引用

页码：4009 / 4013

页数：5

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