A Dual Micro-array Speech Enhancement Method

ZENG Qingning; XIAO Qiang; WANG Yao; XIE Xianming; LONG Chao

doi:10.11999/JEIT170758

Volume 40 Issue 5

May 2018

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Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(5): 1187-1194

ZENG Qingning, XIAO Qiang, WANG Yao, XIE Xianming, LONG Chao. A Dual Micro-array Speech Enhancement Method[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1187-1194. doi: 10.11999/JEIT170758

Citation:

ZENG Qingning, XIAO Qiang, WANG Yao, XIE Xianming, LONG Chao. A Dual Micro-array Speech Enhancement Method[J]. Journal of Electronics & Information Technology, 2018, 40(5): 1187-1194. doi: 10.11999/JEIT170758

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A Dual Micro-array Speech Enhancement Method

doi: 10.11999/JEIT170758

Funds:

The National Natural Science Foundation of China (61461011), The Key Laboratory of Cognitive Radio and Information Processing of Ministry of Education 2016 (CRKL 160107), The Key Project of Guangxi Natural Science Foundation (2016GXNSFDA380018), The Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory Foundation Project (CRKL170108), 2017 Guilin University of Electronic Technology Graduate Innovation Project (2017YJCX16, 2017YJCX20)

Received Date: 2017-07-25
Rev Recd Date: 2018-01-11
Publish Date: 2018-05-19

Abstract

Abstract

In order to improve the performance of speech communication system in noisy environment, a dual micro-array speech enhancement method based on subband spectrum subtraction and generalized sidelobe canceller is proposed. Based on dual micro-array structure and the subband structure analysis, this method suppresses the noise in the low frequency band by the spectrum subtraction method which may employ variable over-subtraction factor in it and suppresses the non-coherent noise part in the high frequency band by modifying cross power spectrum subtraction method, respectively. Then generalized sidelobe canceller and voice activity detector are combined with the method mentioned above to further suppress the influence of strong coherent noise further. The experimental results show that the proposed method can suppress the influence of noise and improve the intelligibility of speech more effectively.
- Speech signal processing,
- Subband spectrum subtraction,
- Generalized sidelobe canceller,
- Dual micro- array

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References(21)

References

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