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Besides, we mainly used skip1 frame selection.
The frame selection for each iteration is randomized.
We used several frame selection numbers in the experiments.
Hereafter, we refer to Equation 8 as 'linear' frame selection and Equation 15 as 'skip1' frame selection.
We can observe that the skip1 frame selection could almost always outperform the linear frame selection for the simulated noiseless reverberant data (Table2).
While for the simulated noisy reverberant data (Table3), the linear frame selection was better, although the skip1 frame selection could be better for some cases.
In Subsection 6.2, we did experiments using various frame selection types, frame selection numbers, and training data numbers on several simulated noiseless and noisy reverberant environments.
First, the mixed spatial-resolution frames should use a different reference frame selection.
All frames were predicted using the same reference frame selection method in both experiments.
Prediction architecture is described by the reference frame selection and reference frame ordering.
Another simple and computationally efficient frame selection method is position sampling (PoS).
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