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Consistent ICA: Determined BSS Meets Spectrogram Consistency
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DOI：10.1109/LSP.2020.2996904.png)
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Abstract
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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.
Keywords:
Spectrogram
Time-frequency analysis
Time-domain analysis
Matrix converters
Blind source separation
Smoothing methods
Linear source separation
multichannel acoustic signal processing
demixing filter estimation
independent component analysis (ICA)
short-time Fourier transform
Journal
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9.6
Papers:
1.1W
Citations:
1.7W
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