Overdetermined Blind Separation of Acoustic Signals Based on MISO-Constrained Frequency-Domain ICA
نویسندگان
چکیده
We propose a new overdetermined blind source separation (BSS) using frequency-domain independent component analysis (FDICA) based on multiple-input singleoutput (MISO) constraint. To achieve a superior separation performance under reverberant environments, we set the number of microphones to be larger than that of sources. This leads to alternative problems in which the sound qualities of the separated signals are deteriorated. In order to solve these problems, we propose the overdetermined BSS based on MISO-constrained FDICA. The experimental results reveal that the sound qualities of the separated signals in the proposed method outperform that in the conventional FDICA especially in the large-array case.
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