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:
- 356bda1ae854ec6f6f3a34747a69f6242d4d34181c681659fe7a71fc083d579c
- Size of remote file:
- 15.9 MB
- SHA256:
- e84a7cf53ea54fb43298d650f4e2d2bfd9d49b28e7a6ef70aa7d21b05f7d1700
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.