Separation and dereverberation performance of frequency domain blind source separation for speech in a reverberant environment
نویسندگان
چکیده
In this paper, we investigate the performance of an unmixing system obtained by frequency domain Blind Source Separation (BSS) based on Independent Component Analysis (ICA). Since ICA is based on statistics, i.e., it only attempts to make outputs independent, it is not easy to predict what is going on in a BSS system. We therefore investigate the detailed components in the processed signals of a whole BSS system by measuring four impulse responses of the system. In particular, we focuse on the direct sound and reverberation in the target and jammer signals. As a result, we reveal that the direct sound and reverberation of the jammer can be reduced compared to a null beamformer (NBF), while the reverberation of the target cannot be reduced.
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