  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.
