You can deploy this model and start earning money today!

DanieClar/
stillscript-speaker-diarization-community-1

Name: stillscript-speaker-diarization-community-1
Availability: InStock

pyannote-audio

pyannote

pyannote-audio-pipeline

speaker-diarization

speaker-change-detection

voice-activity-detection

overlapped-speech-detection

cc-by-4.0

Views

No views yet

StillScript mirror of `pyannote/speaker-diarization-community-1`

This repository is an unmodified redistribution of pyannote/speaker-diarization-community-1, re-hosted so that StillScript Confidential Transcripts can fetch it without each end user having to individually accept the upstream repository's gating conditions.

License, Attribution, and Citation Information

Title: speaker-diarization-community-1
Author: Hervé Bredin and the pyannoteAI / pyannote.audio team
Source: https://huggingface.co/pyannote/speaker-diarization-community-1
License: Creative Commons Attribution 4.0 International (CC-BY-4.0)

CC-BY-4.0 permits redistribution provided attribution is given and changes are indicated.

Changes made

None to the model itself. The pipeline weights, the config.yaml, and the component sub-models (segmentation/, embedding/, plda/) are byte-for-byte identical to the upstream repository. The only differences are:

this README (replacing the upstream model card), and
the removal of the upstream diarization.gif illustration and .gitattributes, neither of which is used at inference time.

No retraining, fine-tuning, quantisation, or conversion of any kind was performed.

Verifying that for yourself

Every shipped file's SHA-256, as redistributed here:

File	SHA-256
`config.yaml`	`5ce2bfa9a938dc132cec1172592d65173cbb8f444ea1e4133f10f9391de155be`
`segmentation/pytorch_model.bin`	`7ad24338d844fb95985486eb1a464e32d229f6d7a03c9abe60f978bacf3f816e`
`embedding/pytorch_model.bin`	`6f10ff60898a1d185fa22e1d11e0bfa8a92efec811f11bca48cb8cafebefd929`
`plda/plda.npz`	`9b77bcd840692710dd3496f62ecfeed8d8e5f002fd991b785079b244eab7d255`
`plda/xvec_transform.npz`	`325f1ce8e48f7e55e9c8aa47e05d2766b7c48c4b25b8de8dd751e7a4cc5fbe8f`

StillScript pins these same hashes and verifies them after download.

Citations

The original authors ask that the following be cited. Reproduced verbatim from the upstream model card.

Speaker segmentation model

bibtex

@inproceedings{Plaquet23,
  author={Alexis Plaquet and Hervé Bredin},
  title={{Powerset multi-class cross entropy loss for neural speaker diarization}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
}

pyannote.audio toolkit

bibtex

@inproceedings{Bredin23,
  author={Hervé Bredin},
  title={{pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe}},
  year=2023,
  booktitle={Proc. INTERSPEECH 2023},
}

Please prefer the upstream repository if you are not using StillScript — it is the canonical source, and using it directly supports the pyannote project.

Mirrored by Acutus Consulting for StillScript Confidential Transcripts. Modelling credit: the pyannote.audio / pyannoteAI team.

DanieClar/stillscript-speaker-diarization-community-1

StillScript mirror of pyannote/speaker-diarization-community-1