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A three-stage permutation approach for frequency-domain blind source separation

机译:频域盲源分离的三阶段置换方法

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摘要

The permutation ambiguity is a critical issue for the convolutive blind speech separation in the frequency domain. To solve this problem, a novel three-stage approach is proposed in this paper. The method of choosing benchmark frequency bins is employed to ensure the performance of the second stage. Meanwhile, the correlation of the adjacent frequency bins is combined with the DOA method to bring out the best in each other. Experimental results in simulated and real environment verify the effectiveness and robustness of our method.
机译:对于频域中的卷积盲语音分离,置换歧义是一个关键问题。为了解决这个问题,本文提出了一种新颖的三阶段方法。采用选择基准频点的方法来确保第二阶段的性能。同时,将相邻频点的相关性与DOA方法相结合,从而彼此发挥出最佳效果。在模拟和真实环境中的实验结果证明了我们方法的有效性和鲁棒性。

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