Permutation Correction in Frequency Domain ICA Using Propagation Characteristics in Real Environments

Abstract

When the frequency domain ICA is applied to noise reduction in a real environment, it is essential to solve the scaling and permutation problems peculiar inherent in frequency domain ICA. The present paper gives a solution to the problems in a real environment. The proposed method is simple, the amount of calculation is small. And the method has high correction performance without depending on the frequency bands and distances from source signals to microphones. Furthermore, it can be applied under the real environment. From several experiments in a virtual room and a real room, it clarifies that the proposed method has been verified.