pyannote.audio
An open-source Python toolkit for speaker diarization with state-of-the-art pretrained models and pipelines.
What is pyannote.audio?
pyannote.audio is an open-source Python toolkit for speaker diarization, which identifies and segments different speakers in audio recordings. It provides neural building blocks for tasks like speech activity detection, speaker change detection, and overlapped speech detection, solving the problem of automatically answering 'who spoke when' in meetings, interviews, or podcasts.
Researchers, data scientists, and developers working on audio analysis, conversational AI, transcription services, or any application requiring speaker identification in multi-speaker audio.
Developers choose pyannote.audio for its state-of-the-art accuracy, easy-to-use Python API, and availability of pretrained models that can be fine-tuned for specific domains, offering a balance between open-source flexibility and premium performance options.
Overview
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Use Cases
Best For
- Transcribing multi-speaker meetings or interviews with speaker labels
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