应用科学学报 ›› 2021, Vol. 39 ›› Issue (2): 261-271.doi: 10.3969/j.issn.0255-8297.2021.02.008

• 信号与信息处理 • 上一篇    

基于凸组合的麦克风阵列自适应语音增强方法研究

赵益波1,2, 陆浩志1,2, 李曙晖1,2, 严涛1,2   

  1. 1. 南京信息工程大学 电子与信息工程学院, 江苏 南京 210044;
    2. 江苏省大气环境与装备技术协同创新中心, 江苏 南京 210044
  • 收稿日期:2020-01-02 发布日期:2021-04-01
  • 通信作者: 赵益波,博士,副教授,研究方向为非线性电路系统、自适应信号处理。E-mail:yibozhaodn@163.com E-mail:yibozhaodn@163.com
  • 基金资助:
    江苏高校优势学科III期建设工程资助项目;国家自然科学基金(No.61871230);江苏省自然科学基金(No.BK20181410)资助

Research on Adaptive Speech Enhancement Method for Microphone Array Based on Convex Combination

ZHAO Yibo1,2, LU Haozhi1,2, LI Shuhui1,2, YAN Tao1,2   

  1. 1. School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu, China;
    2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing 210044, Jiangsu, China
  • Received:2020-01-02 Published:2021-04-01

摘要: 广义旁瓣相消器是应用极为广泛的麦克风阵列语音增强方法,对含高斯噪声的语音信号降噪效果较明显。然而,当语音信号中混有脉冲噪声时,利用此方法进行降噪处理所得增强后的语音信号可识别性明显变差。为改善含脉冲噪声语音信号的降噪效果,本文提出一种基于凸组合的麦克风阵列自适应语音增强方法。该方法利用由线性滤波和非线性样条滤波构成的凸组合滤波器替换单一的线性自适应滤波器,并用最大相关熵准则更新凸组合滤波器的权值和非线性样条滤波中的控制点因子。结果表明:所提语音增强方法能有效滤除语音信号中存在的高斯噪声和脉冲噪声,语音增强效果极其明显。

关键词: 麦克风阵列, 凸组合滤波器, 样条滤波, 脉冲噪声, 语音增强

Abstract: 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.

Key words: microphone array, convex combination filter, spline filter, impulse noise, speech enhancement

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