---
license: other
library_name: pyannote-audio
tags:
- reverb
---

For more information on how to run this diarization model see https://github.com/revdotcom/reverb/tree/main/diarization

Reverb diarization V1 provides a 16.5% relative improvement in WDER (Word Diarization Error Rate) compared to the baseline pyannote3.0 model, evaluated on over 1,250,000 tokens across five different test suites.


| Test suite |	WDER |
|---------| --------|
|earnings21 |	0.047 |
|rev16 |	0.077|

# Usage
```python
# taken from https://huggingface.co/pyannote/speaker-diarization-3.1 - see for more details
# instantiate the pipeline
from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained(
  "Revai/reverb-diarization-v1",
  use_auth_token="HUGGINGFACE_ACCESS_TOKEN_GOES_HERE")

# run the pipeline on an audio file
diarization = pipeline("audio.wav")

# dump the diarization output to disk using RTTM format
with open("audio.rttm", "w") as rttm:
    diarization.write_rttm(rttm)
```

# License
See LICENSE for details.