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What is the best way to handle long audio files?
See original GitHub issueHello! I need to separate speakers in long audio files (2min and more). Could this be done with Asteroid? If yes, then what is the best way to achieve this?
I tried to do it like this, but it throws CUDA out of memmory error.
from asteroid.models import ConvTasNet
nnet = ConvTasNet.from_pretrained('SeparatorModels/ConvTasNet_LibriMix_sepclean.pth')
nnet.cuda(3)
nnet.separate('2_min_long.wav')
Here’s the error
RuntimeError: CUDA out of memory. Tried to allocate 14.68 GiB (GPU 3; 10.92 GiB total capacity; 527.54 MiB already allocated; 9.92 GiB free; 530.00 MiB reserved in total by PyTorch)
Issue Analytics
- State:
- Created 3 years ago
- Comments:5 (2 by maintainers)
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Thank you! I’ll try that and add an example if it going to work out.
Solved in #221