Comments (8)
Hi, thanks for reporting the issue.
This should be fixed now.
Please that for the remaining of the recipe to work, you should have a working python installation with asteroid
installed already.
from asteroid.
now i am getting this message:
Is this related to the asteroid installation?
I have python installed on this computer, and astroid ver 2.1.0 (astroid, not asteroid, is that what you meant?).
from asteroid.
This is not related to asteroid
, this was a mistake in a bash script that I fixed.
Please, pull the repository again with the new fix, and install asteroid
(astroid is something else), see the instructions.
from asteroid.
Worked my way to running Stage 2, but then this...
Any ideas what I should do?
from asteroid.
Thanks for your feedback. This is not related to Asteroid.
Any ideas what I should do?
Please Google it, you'll most probably find a fix, and start from stage 2 again.
from asteroid.
Did you solve your problems? Could you go on with the recipe?
from asteroid.
No. I got tired of trying to get it to work.
Your repository is not documented enough. Not for me anyway.
My initial goal was to use the 'train.py' file to train the NSNet, but now i'm not sure if it is related at all. Don't want to waste my time.
from asteroid.
Sorry you had to experience some problems with the path at the beginning, the recipe was not stable enough yet.
That's too bad because we try to write in-line comments in the recipes to help users.
I'll close this issue, feel free to re-open it if you have some more questions.
By the way, we don't have an implementation of NSNet here yet. Feel free to contribute if you'd like to make our repo better.
from asteroid.
Related Issues (20)
- Legacy Install Failure HOT 1
- X-UMX: lr_scheduler_step() missing 1 required positional argument: 'metric' HOT 4
- About the usage HOT 1
- torchmetrics>=0.11.0 HOT 2
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- val loss in distribute training HOT 2
- refer to asteroid/dsp/overlap_add.py:31 LambdaOverlapAdd model use file_separate output audio file is All noise HOT 2
- KeyError while evaluating musdb18 (X-UMX) HOT 2
- RunTimeError related with NCCL when training librimix recipe HOT 3
- Input and output mean scales updated during training (X-UMX) HOT 5
- how to train the dataset HOT 3
- Transfer learning of pretrained model on custom dataset HOT 2
- Inference script to hear samples from AVSpeech Model ?
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- PIT Loss for multichannel audio for speech separation HOT 1
- test model
- mossFormer2 & sepTDA models HOT 2
- KeyError: 'source_2_path' when training ConvTasNet using enh_single mode HOT 3
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from asteroid.