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Bandwidth Extension of Historical Recordings using Generative Adversarial Networks
Hello, I'm trying to run your code.
I just ran train_bwe.sh, but faced this error.
Traceback (most recent call last):
File "train_bwe.py", line 307, in main
_main(args)
File "train_bwe.py", line 301, in _main
run(args)
File "train_bwe.py", line 41, in run
dataset_val=dataset_loader.ValDataset(args.dset.path_music_validation, None, args.fs,args.seg_len_s_val)
File "/home/featurize/work/bwe_historical_recordings/utils/dataset_loader.py", line 458, in __init__
self.segments_clean[i]=10.0**(scales[i]/10.0) *self.segments_clean[i]
UnboundLocalError: local variable 'i' referenced before assignment
I'm anxious to try out the BWE feature after getting a version of the noise-reduction module working (with some difficulty due to the dependencies) and being very impressed by the results. I wasn't clear whether your audio sample page included BWE processing, or if they were only NR.
I didn't have any luck with cloning the repo, so I tried the Colab. it errored on hydra, which was a quick fix, but then can't load util.utils. I added utils with pip, but still no go.
I was two weeks into training my own 78 rpm noise-reduction model with Demucs hybrid when I came across your work. I've tested your NR-only version primarily on jazz 78's, and there are some ringing artifacts in pianos, but otherwise it's a very, very good model. Would like to see it released in a common format so that it could be used with UVR5 or one of the other GUI's.
Several places in the code, I see pointer to csv files.
These csv files seems to be not available in the repository?
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