README.md

metadata

tags:
  - pyannote
  - pyannote-audio
  - pyannote-audio-pipeline
  - audio
  - voice
  - speech
  - speaker
  - speaker-diarization
  - speaker-change-detection
  - voice-activity-detection
  - overlapped-speech-detection
  - automatic-speech-recognition
datasets:
  - ami
  - dihard
  - voxconverse
  - voxceleb
license: mit

🎹 Speaker diarization

Relies on pyannote.audio 2.0 currently in development: see installation instructions.

from pyannote.audio import Pipeline
pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization")
output = pipeline("audio.wav")

for turn, _, speaker in output.itertracks(yield_label=True):
    # speaker speaks between turn.start and turn.end
    ...

Benchmark

Dataset	Diarization error rate
AMI only_words evaluation set	21.3%
DIHARD 3 evaluation set	22.2%
VoxConverse 0.0.2 evaluation set	13.0%

Support

For commercial enquiries and scientific consulting, please contact me.
For technical questions and bug reports, please check pyannote.audio Github repository.

Citation

@inproceedings{Bredin2020,
  Title = {{pyannote.audio: neural building blocks for speaker diarization}},
  Author = {{Bredin}, Herv{\'e} and {Yin}, Ruiqing and {Coria}, Juan Manuel and {Gelly}, Gregory and {Korshunov}, Pavel and {Lavechin}, Marvin and {Fustes}, Diego and {Titeux}, Hadrien and {Bouaziz}, Wassim and {Gill}, Marie-Philippe},
  Booktitle = {ICASSP 2020, IEEE International Conference on Acoustics, Speech, and Signal Processing},
  Address = {Barcelona, Spain},
  Month = {May},
  Year = {2020},
}