Audio-to-Audio
PyTorch
Asteroid
Indonesian
English
audio-source-separation
speech-separation
convtasnet
itera
Instructions to use FransXav/ConvTasNet-IF-Itera-SepNoisy8k-FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Asteroid
How to use FransXav/ConvTasNet-IF-Itera-SepNoisy8k-FT with Asteroid:
from asteroid.models import BaseModel model = BaseModel.from_pretrained("FransXav/ConvTasNet-IF-Itera-SepNoisy8k-FT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac0a978565b6fc1b48d99bc56c7ba378f6a551791aa2d23d086bfd9a6bd014b4
- Size of remote file:
- 20.3 MB
- SHA256:
- 62d4bd9e929d95b7b407778c03b29b8dc6fee87d826ab4bea18aba5f9ac406bd
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