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Journal of Applied Sciences >

2015 , Vol. 33 >Issue 2: 187 - 193

DOI: https://doi.org/10.3969/j.issn.0255-8297.2015.02.008

Communication Engineering

Adaptive Speech Enhancement for Microphone Array

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  • 1. School of Electronic & Information Engineering, Nanjing University of
    Information Science and Technology, Nanjing 210044, China
    2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and
    Equipment, Nanjing 210044, China

Received date: 2014-10-08

  Revised date: 2014-12-06

  Online published: 2014-12-06

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Abstract

In a complex speech environment, microphone array speech enhancement techniques
can effectively extract target speech signals and eliminate noise. In a conventional
microphone array, the beam forming weighting coefficients are fixed. To flexibly control
the beam forming direction of the microphone array and eliminate residual noise due to
side-lobes, this paper presents an adaptive enhancement technique for microphone array
speech. A microphone array with an adaptive filter is used to form a controllable generalized
sidelobe canceller (GSC), followed by improved spectral subtraction with a Chebyshev
window function. Simulation results show that the proposed method can effectively remove
noise, improving the performance by about 3.5 dB with respect to the ordinary GSC.

Key words： microphone array; adaptive filter; improved generalized sidelobe canceller (GSC); spectral subtraction; speech enhancement

Cite this article

XU Jin1,2, ZHAO Yi-bo1,2, GUO Ye-cai1,2 . Adaptive Speech Enhancement for Microphone Array[J]. Journal of Applied Sciences, 2015 , 33(2) : 187 -193 . DOI: 10.3969/j.issn.0255-8297.2015.02.008

References

[1]       耿慧慧. 基于麦克风阵列语音增强研究[D]. 邯郸:燕山大学硕士学位论文, 2013:13-15.     GENG Huihui. Research of speech enhancement based on microphone array [D]. HAN DAN. Yanshan University master's degree thesis, 2013:13-15.(in Chinese)
[2]       SEUNGHO H, JUNGPYO H, SANGBAE J. Robust GSC-based Speech Enhancement for Human Machine Interface [J]. IEEE Transactions on Consumer Electronics, 2010, 56(2): 965-970.
[3]       CHIH CHIA YAO. Adaptive microphone array based filter in the speech enhancement [C].  International Conference on Networked Computing and Advanced Information Management [C]. 2011, 23(3): 237 - 242.
[4]        KULDIP P, KAMIL W, BELINDA S. Single-channel speech enhancement using spectral subtraction in the short-time modulation domain[J]. Speech Communication, 2010, 52( 5): 450–475.
[5]       TAKAHSHI Y, AKATANI T, OSAKO K, Blind spatial subtraction array for speech enhancement in noisy environment [J]. IEEE Transactions on Audio, Speech and Language Processing, 2009, 17(4): 650-644.
[6]       杨国裕.线性相位契比雪夫数字滤波器的时窗函数[J].数据采集与处理,1995, 29(4):12-19.
YANG Guoyu. Window function of linear phase Chebyshev digital filter [J]. Journal of Data Acquisition & Processing, 1995, 29(4):12-19. (in Chinese)
[7]       ADAM B. Signal subspace approach for psychoacoustically motivated speech enhancement [J]. Speech Communication, 2010, 53(2): 210-219.
[8]       GANNOR S, COHEN L. Speech enhancement based on the general transfer function GSC and post-filtering [J]. IEEE Transactions on Speech and Audio Processing, 2004, 12(6):561-571.
[9]       HABEST E A P, BENSETY J, GANNOT S. On the application of the LCMV beamformer to speech enhancement [J]. IEEE Applications of Signal Processing to Audio and Acoustics, 2009, 10:18-21.
[10]    HAN S, HONG J, JEONG S, HAHN M. Robust GSC-based speech enhancement for human machine interface [J], IEEE Transactions on Consumer Electronic, 2010, 56(2) : 965-970.
 
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