基于区域约束的双耳近场自适应波束形成算法

Region-Constrained Binaural Near-field Adaptive Beamforming Algorithm

提出了一种基于区域约束的双耳近场自适应波束形成算法,该算法将目标信号及其附近区域内的若干个导向矢量组成的矩阵进行特征值分解,并在最小化输出信号能量的同时对主要的特征向量进行约束,从而有效解决传统近场波束形成器对目标声源的方位估计误差和位置扰动过于敏感的问题。实验结果表明,所提方法可以有效抑制远场同向干扰声源,并且相对于传统近场波束形成器具有更高的鲁棒性。客观评价指标表明,该算法的降噪性能及语音质量提升方面均优于对比算法。

To solve the problem that the traditional binaural near-field beamformer is too sensitive to the azimuth estimation error and the position disturbance of the desired sound source,a region-constrained binaural near-field adaptive beamforming algorithm is proposed,which applies the singular value decomposition method on a matrix composed of the steering vectors corresponding to the desired signal and several discrete points in its nearby area,and then obtains the enhanced speech signal by minimizing the output signal power subject to some constraints on these main eigenvectors.Experimental results show that the proposed algorithm can suppress far-filed co-directional interference effectively and is more robust than the traditional binaural near-field beamforming algorithms.Additionally,objective evaluation results show that the noise reduction performance and speech quality improvement of the proposed algorithm are superior to the competing algorithms.