cem
cem
@huangzj421 , Could you add in the README the instructions on how to run the model with these noisy conditions? As before, the script should automatically download and create the...
For `convtasnet-parallel-noisy.yaml` I am getting this error. You can see the command I used also here. 
And, I am observing the following error for `convtasnet-parallel-reverb.yaml`:  Please note that I tried `convtasnet-parallel.yaml`, and that seems to work fine. Correction: Actually, I am also observing that the...
> Actually, if the dataset is already created, we should not require `wsj_root` again, right?
> What I mean with the 'correction' part is that, when I run the script, (with `convtasnet_parallel.yaml`, the error does not go down. It is stuck at 80.
> Yes, but we would also not need `wsj_root` if the dataset is already created.
> > For `convtasnet-parallel-noisy.yaml` I am getting this error. You can see the command I used also here. > >  > > I have corrected the data generation scripts...
> > > > For `convtasnet-parallel-noisy.yaml` I am getting this error. You can see the command I used also here. > > > >  > > > > >...
> Hi @ycemsubakan , I have fixes some errors in train.py and the data generation scripts in my repo. After you remove the previous BinauralWSJ0Mix folder and run train.py again,...
The noisy version seems to work after your last push. (the data generation) But the loss is still kind of stuck: