An Effective MVDR Post-Processing Method for Low-Latency Convolutive Blind Source Separation

In this paper, we introduce a post-processing method to minimize the algorithmic latency in traditional blind source separation (BSS) techniques. Our proposed approach involves the incorporation of a minimum variance distortion response method with the spatial covariance matrix, which is derived from conventional BSS methods, to effectively compute short demixing filters. The performance of source separation can be improved either by increasing the number of microphones or by integrating a dereverberation technique as a pre-processing step, or even both. The experimental results confirm the effectiveness and consistency of the proposed approaches on diverse speech databases.