Add Readme and pretrained model to fasNet recipe#561
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The average in the paper should be the result on all the test set. The other results are obtained by selecting a subset of the total mixtures with every subset composed of mixtures with < X overlap ratio. |
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I have trained a model with the FasNet recipe and thought it would be good to add results and pretrained model.
@popcornell I have run the experiment with the default recipe but I am a bit confused on how to compare it to the paper.
If I'm not mistaken we are reproducing the last row of table 1 in this configuration. However, I am confused about about the overlap part is it the mean of everything ?
The result gives an improvement of
9.9 dBSI-SNR