pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pyannote.audio segments audio by speaker, answering "who spoke when" — the missing piece that turns a transcript into a usable meeting record.
From the README
pip install -e .[dev,testing] pre-commit install
- :rocket: built-in support for pyannoteAI premium speaker diarization
- :snake: Python-first API
- :zap: multi-GPU training with pytorch-lightning
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeNeural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
pyannote-audio has 10.5k stars on GitHub. It has been forked 1.1k times. pyannote-audio is written mainly in Jupyter Notebook. It has been in active development since 2016. pyannote-audio is available under the MIT license. Its main topics are overlapped-speech-detection, pretrained-models, pytorch, speaker-change-detection.
Read the full guideWhat is pyannote-audio?
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Is pyannote-audio open source?
pyannote-audio is an open-source project. It is released under the MIT license.
Is pyannote-audio free?
Yes. pyannote-audio is free and open source — you can use, modify and self-host it.
What license does pyannote-audio use?
pyannote-audio is available under the MIT license.
What language is pyannote-audio written in?
pyannote-audio is written mainly in Jupyter Notebook.
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