Audio Classification
speechbrain
PyTorch
English
embeddings
Speaker
Verification
Identification
xvectors
TDNN
Instructions to use speechbrain/spkrec-xvect-voxceleb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/spkrec-xvect-voxceleb with speechbrain:
from speechbrain.pretrained import EncoderClassifier model = EncoderClassifier.from_hparams( "speechbrain/spkrec-xvect-voxceleb" ) model.classify_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01a16bf6aae656dcd07e4e6add4f73a7ba82c97a4775f5daf98ed93d7e908c88
- Size of remote file:
- 16.9 MB
- SHA256:
- 9d96cafa0ede1a84799b67dc9b5645f31f5b7d094e7e4775e5d5c12547883a93
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