Multichannel audio blind source separation (BSS) in the determined situation (the number of microphones is equal to that of the sources), or determined BSS, is performed by multichannel linear filtering in the time-frequency domain to handle the convolutive mixing process. Ordinarily, the filter treats each frequency independently, which causes the well-known permutation problem, i.e., the problem of how to align the frequency-wise filters so that each separated component is correctly assigned to the corresponding sources. In this paper, it is shown that the general property of the time-frequency-domain representation called spectrogram consistency can be an assistant for solving the permutation problem.

中文翻译：

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一致的 ICA：确定的 BSS 满足频谱图一致性

多通道音频盲源分离（BSS）在确定的情况下（麦克风的数量等于源的数量），或确定的BSS，通过时频域中的多通道线性滤波来处理卷积混合过程。通常，滤波器独立处理每个频率，这会导致众所周知的置换问题，即如何对齐逐频滤波器以便每个分离的分量正确分配给相应的源的问题。在本文中，表明称为频谱图一致性的时频域表示的一般性质可以帮助解决置换问题。