结合脉冲响应重塑和期望最大化的盲信号分离  

Blind Signal Separation Combining Impulse Response Remodeling and Expectation Maximization

作　　者：解元 张旭 邹涛 马鸽 余锦视 孙为军 XIE Yuan;ZHANG Xu;ZOU Tao;MA Ge;YU Jin-shi;SUN Wei-jun(School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou,Guangdong 510006,China;Key Laboratory of Intelligent Detection and the Internet of Things in Manufacturing,Ministry of Education,Guangzhou,Guangdong 510006,China;Guangdong-Hong Kong-Macao Key Laboratory of Multi-Scale Information Fusion and Collaborative Optimization Control of Complex Manufacturing Process,Guangzhou,Guangdong 510006,China;Guangzhou Key Laboratory of Manufacturing Process Comprehensive Automation,Guangzhou,Guangdong 510006,China;Guangdong Provincial Key Laboratory of Information Technology of Internet of Things,Guangzhou,Guangdong 510006,China;Key Laboratory of Intelligent Information Processing and System Integration of Internet of Things,Ministry of Education,Guangzhou,Guangdong 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]智能检测与制造物联教育部重点实验室,广东广州510006 [3]粤港澳复杂制造多尺度信息融合与协同优化控制重点验室,广东广州510006 [4]广州市制造过程综合自动化重点实验室,广东广州510006 [5]广东省物联网信息技术重点实验室,广东广州510006 [6]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：《电子学报》2023年第11期3343-3353,共11页Acta Electronica Sinica

基　　金：广州市基础与应用基础研究项目(No.SL2022A04J00289);广东省基础与应用基础研究基金(No.2023A1515011311);国家自然科学基金(No.62003095,No.52171331);广州市市校联合实验室项目(No.2023A03J0120)。

摘　　要：多通道欠定卷积语音混合信号的分离问题是盲信号分离领域的难点.由于混合信号中常伴随声学回声和混响,真实的源信号很难完全被清晰地分离出来.传统的盲信号分离算法多数适用于低混响,而在高混响场景下,算法的分离性能极速下降甚至是失效的.本文针对具有声学回声和混响环境下的多通道欠定卷积语音混合信号的分离问题,提出一种结合脉冲响应重塑和期望最大化的盲信号分离算法,该算法在低混响和高混响下都表现出很好的分离性能.首先,利用基于无穷范数和p-范数的脉冲响应重塑技术设计预滤波器消除可听回声,完成对混合信号的重塑,提高混合信号的质量.然后,对重塑后的混合信号利用分层聚类方法估计混合矩阵,基于期望最大化算法框架,设计新的模型参数实时更新规则,通过结合脉冲响应重塑和期望最大化重构源信号.实验结果表明,所提算法可以有效地分离不同混响环境下带声学回声的欠定卷积混合信号,其分离性能优越,同时对噪声具有很好的鲁棒性.The separation of multichannel underdetermined convolutive speech mixing signals is a difficult problem in the field of blind signal separation.Due to the acoustic echo and reverberation in the mixing signals,it is difficult to completely and clearly separate the real source signals.Most traditional blind signal separation algorithms are suitable for low reverberation,while in high reverberation scenarios,the separation performance of the algorithm rapidly degrades or even fails.To separate multichannel convolutive mixing signals with acoustic echo and reverberation,a blind signal separation algorithm is proposed combining impulse response remodeling and expectation maximization,which exhibits good separation performance in both low and high reverberation environments.Firstly,a pre-filter is designed using impulse response remodeling technology based on infinite and p-norm to eliminate audible echoes,remodeling the room impulse response and improving the quality of the mixing signals.Then,a hierarchical clustering method is used to estimate the mixing matrix for the remodeled mixing signals,the new model parameters real-time update rules are designed based on expectation maximization algorithm framework,and the source signals are reconstructed combining the impulse response remodeling and expectation maximization.Experimental results show that the proposed algorithm can effectively separate the speech mixing signals with acoustic echoes in different reverberation environments,owning superior separation performance and good robustness to noise.

关 键 词：盲源分离 脉冲响应重塑 多通道卷积混合 期望最大化 

分 类 号：TN912.3[电子电信—通信与信息系统]