| | --- |
| | tags: |
| | - pyannote |
| | - pyannote-audio |
| | - pyannote-audio-pipeline |
| | - audio |
| | - voice |
| | - speech |
| | - speaker |
| | - speaker-diarization |
| | - speaker-change-detection |
| | - voice-activity-detection |
| | - overlapped-speech-detection |
| | --- |
| | |
| | # Hosted `Community-1` speaker diarization |
| |
|
| | This pipeline runs [`Community-1`](https://hf.co/pyannote/speaker-diarization-community-1) speaker diarization on [pyannoteAI](https://www.pyannote.ai) cloud. |
| | Read the announcement [blog post](https://www.pyannote.ai/blog/community-1). |
| |
|
| | ## 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-community-1-cloud', |
| | token="{pyannoteAI-api-key}") |
| | |
| | # run speaker diarization on pyannoteAI cloud |
| | output = pipeline("/path/to/audio.wav") |
| | |
| | # print speaker diarization |
| | for turn, speaker in output.speaker_diarization: |
| | print(f"start={turn.start:.1f}s stop={turn.end:.1f}s speaker_{speaker}") |
| | ``` |
| |
|
| |
|
