论文标题
一致的ICA：确定的BSS符合频谱图一致性
Consistent ICA: Determined BSS meets spectrogram consistency
论文作者
论文摘要
在确定情况下（麦克风的数量等于源的数量等于源的数量）或确定的BSS，多通道音频盲源分离（BSS）是通过在时频域中的多通道线性滤波来执行的，以处理卷积的混合过程。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，即如何对齐频率过滤器的问题，以便将每个分离的组件正确分配到相应的来源。在本文中，结果表明，称为光谱图一致性的时频域表示的一般属性可以是解决置换问题的助手。
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.
