pyannote/pyannote-audio

Health v2 · maintenance only

Adoption not part of the score

10475 stars · 1101 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

pyannote.audio is an open-source Python toolkit built on PyTorch for speaker diarization, providing neural building blocks like voice activity detection, speaker change detection, overlapped speech detection, and speaker embeddings. It ships state-of-the-art pretrained models and pipelines via Hugging Face that can be finetuned on custom data.

Use cases

• identify who spoke when in an audio recording
• detect voice activity in audio files
• detect overlapping speech segments
• extract speaker embeddings for voice recognition
• finetune speaker diarization models on my own data
• segment meeting transcripts by speaker

When to choose

• you need local, self-hosted speaker diarization with pretrained models
• you want to finetune diarization components on your own audio data
• you need building blocks like VAD or speaker embeddings for a voice AI pipeline

When to avoid

• you want a fully managed API without running models yourself (consider pyannoteAI premium)
• you need speech-to-text transcription rather than diarization
• you work outside the Python/PyTorch ecosystem

Facets

library · maturity active

machine-learning speech-recognition audio-processing deep-learning speech-processing machine-learning python cross-platform speaker-diarization voice-activity-detection pytorch pretrained-models speaker-embedding pyannote audio natural-language-processing gpu

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markdown · JSON · MCP: product_card(name="pyannote/pyannote-audio")