open-unmix-pytorch
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sigsep
Open-Unmix - Music Source Separation for PyTorch
Is it possible to train the Open-Unmix with a different Front-End (e.g. different parameters of the STFT ) for each source and then on the evaluation phase use the multichannel...
 Hello! I use Open Unmix on colab - Pytorch But I found that the model download is very slow! Check https://zenodo.org/ for server locations in Switzerland, Can you change...
Hi, how many RTX 2080 GPUs was the model trained on? I am trying to use one RTX 2070 GPU with 4 workers but training takes about 10-15 minutes per...
How can I solve the following error which only occurs during validation: _pickle.PicklingError: Can't pickle : attribute lookup MUSDBDataset. on openunmix.data failed EOFError: Ran out of input
Hi, I was just wondering if there have been any attempts at using a Transformer instead of the Bi-LSTM or utilizing attention in the network to potentially improve results?
`estimates = separate(audio=mix_torch, targets=['podcasts'], model_str_or_path='../scripts/open-unmix-512', device='cuda', rate = rate )` stackstrace : RuntimeError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_14992/3837081952.py in ----> 1 estimates = separate(audio=mix_torch, 2 targets=['podcasts'], 3 model_str_or_path='../scripts/open-unmix-512', 4...
Hi all, So, when I evaluated UMX and X-UMX (to compare with my model, xumx-sliCQ), in my MDX published paper, I reported the following median SDR values: >Our model, xumx-sliCQ,...
## 🐛 Bug Trying to get help information with either -h or --help results in the program crashing with an error message. ## To Reproduce Steps to reproduce the behavior:...
Running the umxhq separator with the default wiener separation (niter=1) really blows up my memory usage when I run umx with the CPU. Is it really supposed to do that?...
