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---
tags:
- pyannote
- pyannote-audio
- pyannote-audio-pipeline
- audio
- voice
- speech
- speaker
- speaker-diarization
- speaker-change-detection
- voice-activity-detection
- overlapped-speech-detection
---
# `Precision-2` speaker diarization
This pipeline runs `Precision-2` speaker diarization on [pyannoteAI](https://www.pyannote.ai) cloud.
Read the announcement [blog post](https://www.pyannote.ai/blog/precision-2).
This pipeline is a stripped down version of pyannoteAI SDK that provides [much more features](https://docs.pyannote.ai):
* speaker diarization optimized for speech-to-text
* speaker voiceprinting and identification
* confidence scores
* and more...
A self-hosted version of `Precision-2` is also available for enterprise customers.
## Setup
1. `pip install pyannote.audio`
2. Create an API key on [`pyannoteAI` dashboard](https://dashboard.pyannote.ai) (free credits included)
## Usage
```python
# initialize speaker diarization pipeline
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained(
'pyannote/speaker-diarization-precision-2',
token="{pyannoteAI-api-key}")
# run speaker diarization on pyannoteAI cloud
output = pipeline("/path/to/audio.wav")
# enjoy state-of-the-art speaker diarization
for turn, speaker in output.speaker_diarization:
print(f"start={turn.start:.1f}s stop={turn.end:.1f}s speaker_{speaker}")
```
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