pyannote.audio
PyTorch
pyannote
pyannote-audio-model
wespeaker
audio
voice
speech
speaker
speaker-recognition
speaker-verification
speaker-identification
speaker-embedding
Instructions to use pyannote/wespeaker-voxceleb-resnet34-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use pyannote/wespeaker-voxceleb-resnet34-LM with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("pyannote/wespeaker-voxceleb-resnet34-LM") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbae20d3c4f8fc381db5d514a7d4069c87d09feba054c2b248f7333b073e08cd
- Size of remote file:
- 26.6 MB
- SHA256:
- 366edf44f4c80889a3eb7a9d7bdf02c4aede3127f7dd15e274dcdb826b143c56
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