一种适用于混响环境的双传声器自适应指向性算法

摘要

In many acoustic signal processing systems (e.g. Hearing aids), directional algorithm is adopted to process signals from separated sources. However, reverberation in a living room or a conference room usually degrades noise reduction of a directional system, while the existing dereverberation algorithms can not effectively suppress interference noises. In this paper, an adaptive dual-microphone directional algorithm with two closely arranged omnidirectional microphones is proposed for reverberant environment. The proposed algorhthm combines the Adaptive Null-Forming (ANF) structure and a dereverberation algorithm based on statistical model to achieve adaptive directionality in reverberant environment. Compared with existing directional or dereverbertion algorithms, the proposed algorithm uses a simple structure to realize directionality and dereverberation synchronically, as well as owns low complexity and real-time capability. Finally, the directional performance of the proposed algorithm in reverberant enviroment was verified by simulation results.%在许多语音信号处理系统(如助听器)中,都采用了指向性算法处理在空间上相互分离的信号,但在客厅、会议室等室内环境中混响的存在严重影响了指向性系统的降噪性能,现有的去混响算法不能有效地抑制干扰噪声.该文提出一种适用于混响环境的自适应双传声器指向性算法,采用两个间距很小的全向性传声器,将自适应零限波束形成(ANF)结构和利用概率模型抑制混响的方法相结合,实现了在混响环境中的自适应指向性.与现有指向性和抑制混响算法相比,该算法采用一个简单的结构同步实现了指向性和抑制混响,具有较低的复杂度和较强的实时性.仿真验证了算法在混响环境中的指向性降噪性能.