Voice Activity Detection
pyannote.audio
PyTorch
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-segmentation
overlapped-speech-detection
resegmentation
Instructions to use drewThomasson/segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use drewThomasson/segmentation with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("drewThomasson/segmentation") 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
Download pytorch_model.bin from drewThomasson/segmentation: direct link, hf CLI and curl.
- Browser
- Download file 5.91 MB
-
https://huggingface.co/drewThomasson/segmentation/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://drewThomasson/segmentation/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/drewThomasson/segmentation/resolve/main/pytorch_model.bin
5.91 MB
- Xet hash:
- 9db3ecfbe2f18b6214b9fafab1c282f9a5d8594b9ce6b6f32351cbecce202305
- Size of remote file:
- 5.91 MB
- SHA256:
- da85c29829d4002daedd676e012936488234d9255e65e86dfab9bec6b1729298
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