标题：A fast blind source separation algorithm for binaural hearing aids based on frequency bin selection
作者：Liu, Baiyun; Wei, Ying
作者机构：[Liu, Baiyun] Shandong Univ, Sch Informat Sci & Engn, Qingdao, Peoples R China.; [Wei, Ying] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, 更多
会议名称：23rd IEEE International Conference on Digital Signal Processing (DSP)
会议日期：NOV 19-21, 2018
来源：2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)
关键词：fast BSS; frequency bin selection; covariance matrix determinant;; outlier detection
摘要：In binaural signal processing, due to the large distance between two ears, spatial aliasing occurs at the high frequencies. Therefore, the fast algorithms based on frequency bin selection usually limit the frequency range to below 1kHz to avoid dealing with the aliasing problem. In this paper, a fast Blind Source Separation (BSS) algorithm based on frequency bin selection without limiting the range of frequency bin selection was proposed. Efficient method was used to estimate the propagation model parameters to solve the inaccurate delay problem and permutation ambiguity. Besides, we used outlier detection method to further remove frequency bins with poor separation performance after the first selection, which ensures the accuracy of the normalized attenuation and delay matrices. Simulation results show that the proposed algorithm reduces computational complexity and improves separation performance compared with limited range frequency bin selection BSS.