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Frequency domain ICA (Independent Component Analysis) has a scaling indeterminacy and a permu怯 tion problem. The scaling indeterminacy can be solved by use of a decomposed spectrum. For the permutation problem, we have proposed the rules in terms of gain ratio and ph鎚 edifference derived from the decomposed spectra and the source's coarse directions. The present paper experimentally clarifies that the gain ratio and the phase difference work effectively in a real environment but their performance depends on仕equencybands, a microphone-space and a sourc令 microphone distance. From these facts it is seen that it is difficult to attain a perfect solution for the permutation problem in a real environment only by either the gain ratio or the phase difference. For the perfect fjOlution, it is important to devise the correction scheme, taking the frequency bands, the microphone-space and the sourc令 microphonedistance into the consideration.

Properties of Acoustic Transfer Function in Real Environments and Their Application to ICA