Instructions to use sli521/speaker-diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use sli521/speaker-diarization with pyannote.audio:
from pyannote.audio import Pipeline pipeline = Pipeline.from_pretrained("sli521/speaker-diarization") # inference on the whole file pipeline("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) from pyannote.audio import Audio waveform, sample_rate = Audio().crop("file.wav", excerpt) pipeline({"waveform": waveform, "sample_rate": sample_rate}) - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 27ecd0c verified
model updated 9b97121
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update config with segmentation model 3068d59
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update with new model 4a92916
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Upload fine-tuned speaker diarization model words 1a4f64b
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