面向高混响环境的欠定卷积盲源分离算法  

Algorithm of underdetermined convolutive blind source separation for high reverberation environment

作　　者：解元 邹涛 孙为军 谢胜利[3] XIE Yuan;ZOU Tao;SUN Weijun;XIE Shengli(School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China;Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing,Ministry of Education,Guangdong University of Technology,Guangzhou 510006,China;Key Laboratory of Intelligent Information Processing and System Integration of IoT,Ministry of Education,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广州大学机械与电气工程学院,广东广州510006 [2]广东工业大学智能检测与制造物联教育部重点实验室,广东广州510006 [3]广东工业大学物联网智能信息处理与系统集成教育部重点实验室,广东广州510006

出　　处：《通信学报》2023年第2期82-93,共12页Journal on Communications

基　　金：国家自然科学基金资助项目(No.62003095,No.52171331);广东省重点领域研发计划基金资助项目(No.2019B01054002)。

摘　　要：为了解决高混响环境下欠定卷积混叠信号的分离问题,提出一种新的欠定卷积盲源分离算法。针对高混响环境的影响,设计全局脉冲响应网络削弱混响回声,提高信号质量。基于全局脉冲响应网络建立新的时频域混叠信号数学模型,采用全局脉冲响应矩阵缩短了传统脉冲响应的长度,降低了高混响带来的模型变换近似误差。基于非负矩阵分解理论设计模型参数的实时更新学习规则,将源信号分离问题转换为模型参数优化问题,实现混叠信号的盲源分离。实验结果表明,所提算法可以有效地实现中英文语音、音乐混叠信号的盲源分离,与现有比较流行的盲源分离算法的对比验证了所提算法的优越性。To separate the underdetermined convolutive mixture signals in the high reverberation environment,a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment,a global impulse response network was designed to weaken reverberation echo,improving signal quality.A new mathematical model of time-frequency mixing signals was established based on the global impulse response network.The global impulse response matrix which shortened the length of the traditional impulse response,reduced the approximation error of model transformation caused by high reverberation.The real-time update learning rules of model parameters were designed based on the theory of nonnegative matrix factorization,and the source signal separation problem was converted into the model parameter optimization problem,achieving blind source separation of mixing signals.Experimental results show that the proposed algorithm can effectively realize the blind source separation of Chinese and English speech and music signals,and the comparision with existing popular algorithms verified the superiority of the proposed algorithm.

关 键 词：盲源分离 欠定卷积混叠 高混响环境 全局脉冲响应网络 非负矩阵分解 

分 类 号：TN911.23[电子电信—通信与信息系统]