Voice Activity Detection
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
overlapped-speech-detection
Instructions to use pyannote/speaker-diarization-precision-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use pyannote/speaker-diarization-precision-2 with pyannote.audio:
from pyannote.audio import Pipeline pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-precision-2") # 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
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# `Precision-2` speaker diarization
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This pipeline runs `Precision-2` speaker diarization on [pyannoteAI](https://www.pyannote.ai) cloud.
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This pipeline is a stripped down version of pyannoteAI SDK that provides much more features:
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* speaker diarization optimized for speech-to-text
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* speaker voiceprinting and identification
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* confidence scores
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* and more...
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## Setup
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# `Precision-2` speaker diarization
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This pipeline runs `Precision-2` speaker diarization on [pyannoteAI](https://www.pyannote.ai) cloud.
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Read the announcement [blog post](https://www.pyannote.ai/blog/precision-2).
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This pipeline is a stripped down version of pyannoteAI SDK that provides [much more features](https://docs.pyannote.ai):
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* speaker diarization optimized for speech-to-text
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* speaker voiceprinting and identification
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* confidence scores
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* and more...
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A self-hosted version of `Precision-2` is also available for enterprise customers.
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## Setup
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