Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment

Single-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex environment. Microphone arrays have spatial selection an...

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Main Authors: Dong-xia Wang, Mao-song Jiang, Fang-lin Niu, Yu-dong Cao, Cheng-xu Zhou
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2018/6153451
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spelling doaj-d53657900a654ee4acb16613aa9e71552020-11-24T21:35:58ZengHindawi-WileyComplexity1076-27871099-05262018-01-01201810.1155/2018/61534516153451Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex EnvironmentDong-xia Wang0Mao-song Jiang1Fang-lin Niu2Yu-dong Cao3Cheng-xu Zhou4School of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaSchool of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaSchool of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaSchool of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaSchool of Electronic and Information Engineering, Liaoning University of Technology, Jinzhou, Liaoning 121001, ChinaSingle-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex environment. Microphone arrays have spatial selection and high signal gain, so it applies to the adverse noise conditions. In this paper, we present a new algorithm for speech enhancement based on two microphones with nonnegative matrix factorization. The interchannel characteristic of each nonnegative matrix factorization basis can be modeled by the adopted method, such as the amplitude ratios and the phase differences between channels. The results of the experiment confirm that the proposed algorithm is superior to other dual-microphone speech enhancement algorithms.http://dx.doi.org/10.1155/2018/6153451
collection DOAJ
language English
format Article
sources DOAJ
author Dong-xia Wang
Mao-song Jiang
Fang-lin Niu
Yu-dong Cao
Cheng-xu Zhou
spellingShingle Dong-xia Wang
Mao-song Jiang
Fang-lin Niu
Yu-dong Cao
Cheng-xu Zhou
Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
Complexity
author_facet Dong-xia Wang
Mao-song Jiang
Fang-lin Niu
Yu-dong Cao
Cheng-xu Zhou
author_sort Dong-xia Wang
title Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
title_short Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
title_full Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
title_fullStr Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
title_full_unstemmed Speech Enhancement Control Design Algorithm for Dual-Microphone Systems Using β-NMF in a Complex Environment
title_sort speech enhancement control design algorithm for dual-microphone systems using β-nmf in a complex environment
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2018-01-01
description Single-microphone speech enhancement algorithms by using nonnegative matrix factorization can only utilize the temporal and spectral diversity of the received signal, making the performance of the noise suppression degrade rapidly in a complex environment. Microphone arrays have spatial selection and high signal gain, so it applies to the adverse noise conditions. In this paper, we present a new algorithm for speech enhancement based on two microphones with nonnegative matrix factorization. The interchannel characteristic of each nonnegative matrix factorization basis can be modeled by the adopted method, such as the amplitude ratios and the phase differences between channels. The results of the experiment confirm that the proposed algorithm is superior to other dual-microphone speech enhancement algorithms.
url http://dx.doi.org/10.1155/2018/6153451
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