Dual-Path-RNN-Pytorch
                                
                                
                                
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                        Number of speakers
During inference, if I need to test for a track with 3 speakers, do I need to retrain the model? Because from the given checkpoint best.pt, there is a mismatch in the shape of separation.conv2d.bias and separation.conv2d.weight tensors, when tried with num_spks = 3.
yes, you need to train the new model for three speakers
Since the wsj0 dataset by LDC is not open-source, would you recommend training dprnn on the LibriMix dataset with different number of sources?
I think this depends on the mixed number of methods you compare.