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 objects76/speaker-diarization-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use objects76/speaker-diarization-v1 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("objects76/speaker-diarization-v1") 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
source: lightning_logs/version_3/checkpoints/pytorch_model.bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c57ff15959d6baa6ce7c4270d1d8844ea830cd2c1d8f7d06f8ba55e543a721ec
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size 5910864
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