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
Can't match performance on VoxCeleb
#5
by 607HF - opened
When I evaluate this model on VoxCeleb-O, I get an EER around 8.9%, rather than 3.2%. I do not see the previously reported issue about all scores being high: in fact, the EER threshold is 0.94. Remarkably, I do replicate the reported EER on spkrec-ecapa-voxceleb and spkrec-resnet-voxceleb, with the same code.
I have the same problem, do you fix it?
I have the same problem, do you fix it?
Nope, I never learnt what this discrepancy originates from.