Voice Activity Detection
pyannote.audio
PyTorch
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
speaker-segmentation
overlapped-speech-detection
resegmentation
Instructions to use fatymatariq/segmentation-3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use fatymatariq/segmentation-3.0 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("fatymatariq/segmentation-3.0") 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:
- af3832af50024120092ca2a2fcc0c0873b42eec60ecb3bd0c0356c43fa8969b6
- Size of remote file:
- 5.91 MB
- SHA256:
- da85c29829d4002daedd676e012936488234d9255e65e86dfab9bec6b1729298
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