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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Online Access: | http://dx.doi.org/10.1155/2018/6153451 |
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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 |
work_keys_str_mv |
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