pyannote.audio (speaker diarization toolkit)
Source: https://github.com/pyannote/pyannote-audio
Structured fields
{
"archived": false,
"checked_at": "2026-10-17T00:00:00.000Z",
"usefulness": "PyTorch toolkit for speaker diarization (who spoke when), VAD, overlapped speech and speaker embeddings, with pretrained pipelines on Hugging Face. Current open pipeline is speaker-diarization-community-1; a premium pyannoteAI option exists.",
"source_type": "repository",
"availability": "available",
"source_owner": "pyannote",
"next_check_at": "2026-10-18T00:00:00.000Z",
"upstream_updated_at": "2026-10-16T15:45:04.000Z"
}Evidence claims
- [upstream_claim] README: open-source toolkit for speaker diarization built on PyTorch with pretrained models and pipelines on the Hugging Face hub, multi-GPU training with pytorch-lightning, and built-in support for pyannoteAI premium diarization. · locator: README, intro source
- [sourced_fact] README 'community-1 open-source speaker diarization' section: requires accepting the user conditions of pyannote/speaker-diarization-community-1 on Hugging Face and creating an access token. · locator: README, community-1 section source
- [sourced_fact] GitHub metadata: MIT, not archived, last push 2026-10-16. · locator: repository metadata source
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.
Rights
| component | license | hosting | redistribution | modification | training | Evidence and notes |
|---|---|---|---|---|---|---|
| code | MIT | permitted | permitted | permitted | unknown | MIT per GitHub. |
| model_weights | unknown | restricted | unknown | unknown | unknown | Pretrained pipelines are gated: users must accept conditions and use a token; the model license text was not read. |