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
Query on comparison to the x-vector extractors developed by kaldi
#4
by uyiosa - opened
How does this compare to the x-vector extractors developed by kaldi? I'm looking for open source embedding extraction models that are best for voice specifically. I want good vector representations for speaker recognition. I've tried pyannote inference for embedding extraction which was not good enough for me as I kept getting alot of false positives and negatives with cosine similarity. I'm now looking at this model as well as Kaldi as they were recommended as they both extract x-vectors specifically.