Automatic Speech Recognition
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
voice-activity-detection
overlapped-speech-detection
Instructions to use aTrain-core/speaker-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use aTrain-core/speaker-detection with pyannote.audio:
from pyannote.audio import Pipeline pipeline = Pipeline.from_pretrained("aTrain-core/speaker-detection") # 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
- Xet hash:
- 8c15e0a36ad2d141aa15f3061714c1449881f680469b21a65acf7125077c1726
- Size of remote file:
- 5.91 MB
- SHA256:
- 7ad24338d844fb95985486eb1a464e32d229f6d7a03c9abe60f978bacf3f816e
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