Generalized sidelobe canceller is a widely used microphone array speech enhancement method, which has obvious noise reduction effect on speech signals with Gaussian noise. However, when impulse noise is mixed in the speech signal, the recognizability of the enhanced speech signal becomes significantly worse as using this method. In order to improve the noise reduction effect on speech signals with impulse noise, in this paper, an adaptive speech enhancement method for microphone array based on convex combination is presented. In this method, a single linear adaptive filter is replaced by a convex combined filter composed of linear filter and nonlinear spline filter, and the maximum correntropy criterion is used to update the weight of the convex combination filter and the control point factor in the nonlinear spline filter. Results show that the presented speech enhancement method can effectively filter the Gaussian noise and impulse noise in the speech signal, and the speech enhancement effect is extremely obvious.
[1] 倪忠. 基于麦克风阵列的语音增强方法研究[D]. 长沙:湖南大学, 2017.
[2] 戴华骅, 王亚森, 赵英潇, 等. 一种基于GSC框架波束域快速稳健自适应波束形成算法[J]. 科学技术与工程, 2014, 14(29):39-43. Dai H Y, Wang Y S, Zhao Y X, et al. A fast robust adaptive beam formation algorithm based on GSC frame beam domain[J]. Science Technology and Engineering, 2014, 14(29):39-43. (in Chinese)
[3] 刘可. 基于阵列天线的自适应波束形成算法研究[D]. 哈尔滨:哈尔滨工程大学, 2018.
[4] 刘春辉, 齐越, 丁文锐, 等. 最大相关熵准则自适应滤波器的分数阶长算法[J]. 北京航空航天大学学报, 2016, 42(2):413-420. Liu C H, Qi Y, Ding W R, et al. Fractional length algorithm for adaptive filters with maximum correlation entropy criteria[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2):413-420. (in Chinese)
[5] 吴鹏, 李晶皎, 王爱侠, 等. 相位匹配噪声估计的高阶谱去噪方法[J]. 小型微型计算机系统, 2010, 31(12):2381-2384. Wu P, Li J J, Wang A X, et al. High-order spectral denoising method for phase matching noise estimation[J]. Journal of Chinese Computer Systems, 2010, 31(12):2381-2384. (in Chinese)
[6] 林政剑, 熊美英, 查代奉. 非高斯噪声背景下的诱发电位信号去噪方法[J]. 计算机工程与应用, 2014, 50(9):186-188. Lin Z J, Xiong M Y, Zha D F. Denoising method of evoked potential signal under nonGaussian noise background[J]. Computer Engineering and Applications, 2014, 50(9):186-188. (in Chinese)
[7] 李翰芳. 一种新的非高斯分布噪声下的小波去噪方法[J]. 湖北工业大学学报, 2011, 26(2):136-139. Li H F. A new wavelet denoising method under non-Gaussian distributed noise[J]. Journal of Hubei University of Technology, 2011, 26(2):136-139. (in Chinese)
[8] 吴文静, 梁中华, 罗倩文, 等. 基于最大相关熵的多凸组合滤波器[J]. 电子技术应用, 2018, 44(12):97-100. Wu W J, Liang Z H, Luo Q W, et al. Multi-convex combined filter based on maximum correlation entropy[J]. Application of Electronic Technique, 2018, 44(12):97-100. (in Chinese)
[9] 李思齐. 改进的麦克风阵列语音增强GSC算法研究[D]. 海口:海南大学, 2016.
[10] 赵益波, 杨蕾, 严涛, 等. 麦克风阵列的协同自适应滤波语音增强方法[J]. 现代电子技术, 2019, 42(8):16-20. Zhao Y B, Yang L, Yan T, et al. Collaborative adaptive filtering speech enhancement method for microphone array[J]. Modern Electronics Technique, 2019, 42(8):16-20. (in Chinese)
[11] 罗丁利, 徐伟. 一种阻塞矩阵的构建方法[J]. 火控雷达技术, 2009, 38(4):53-56. Luo D L, Xu W. A method of constructing blocking Matrix[J]. Fire Control Radar Technology, 2009, 38(4):53-56. (in Chinese)
[12] Giffithsl J, Jim C W. An alternative approach to linearly constrained adaptive beamforming[J]. IEEE Transactions on Antennas and Propagation, 1982, 30(1):27-34.
[13] 徐进, 赵益波, 郭业才. 一种新的麦克风阵列自适应语音增强方法[J]. 应用科学学报, 2015, 33(2):187-193. Xu J, Zhao Y B, Guo Y C. A new adaptive speech enhancement method for microphone array[J]. Journal of Applied Sciences, 2015, 33(2):187-193. (in Chinese)
[14] Liu S H, Ma Y H, Huang Y M. Sea clutter cancellation for passive radar sensor exploiting multi-channel adaptive filters[J]. IEEE Sensors Journal, 2019, 19(3):982-995.
[15] Scariniti M, Comminiello D, Parisi R, et al. Nonlinear spline adaptive filtering[J]. Signal Processing, 2013, 93(4):772-783.
[16] Peng S Y, Wu Z Z, Zhang X, et al. Nonlinear spline adaptive filtering under maximum correntropy criterion[C]//Tencon IEEE Region 10 Conference. IEEE, 2016.
[17] Singh A, Principe J C. Using correntropy as a cost function in linear adaptive filters[C]//International Joint Conferences on Neural Networks. IEEE, 2009:2950-2955.
[18] 姜骁, 马文涛, 曲桦. 时域和酉空间中基于最大相关熵准则的非线性噪声处理[J]. 计算机应用, 2012, 32(12):3287-3290. Jiang X, Ma W T, Qu H. Nonlinear noise processing based on maximum correntropy criterion in time domain and unitary space[J]. Journal of Computer Applications, 2012, 32(12):3287-3290. (in Chinese)
[19] 石嘉豪. 基于最大互相关熵的核自适应滤波算法研究[D]. 广州:华南理工大学, 2016.
[20] 刘春丽, 邵雷, 陈海龙, 等. 标准参数下Alpha稳定分布随机变量的产生及仿真[J]. 哈尔滨理工大学学报, 2014, 19(3):51-56. Liu C L, Shao L, Chen H L, et al. Generation and simulation of alpha stable distributed random variables under standard parameters[J]. Journal of Harbin University of Science and Technology, 2014, 19(3):51-56. (in Chinese)
