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How is this method better compared to independent component analysis?


For one thing, independent component analysis needs to process signals from as many microphones as there are sources to work properly.


This is true for vanilla ICA.

Independent Subspace ICA models can be applied to more signals than sources problems. It's also possible to use different decomposition methods, or subtracting already detected signals.




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