Voice Activity Detection
pyannote.audio
PyTorch
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-segmentation
overlapped-speech-detection
resegmentation
Instructions to use zermok/segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use zermok/segmentation with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("zermok/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
- Xet hash:
- 912df3beef373cd1cde0d46e5f08a891e63d281cd2ebd31d9dc55569677df221
- Size of remote file:
- 17.7 MB
- SHA256:
- 0b5b3216d60a2d32fc086b47ea8c67589aaeb26b7e07fcbe620d6d0b83e209ea
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