You can now orchestrate pyannoteAI Precision‑2 diarization models with the OpenAI Whisper Large V3 Turbo STT model. Combining best‑in‑class speaker attribution with state‑of‑the‑art multilingual transcription.
What it does:
Aligns speaker diarization and transcription into a unified workflow powered by the Whisper Large V3 Turbo model.
Technical details:
Connects to OSS transcription model: OpenAI Whisper Large V3 Turbo
Integrates seamlessly with pyannoteAI Precision‑2 diarization models
Returns structured speaker‑attributed transcripts with timestamps and text
Use case:
Leverage Whisper’s support for 99 languages to cover broader use cases and deployment scenarios.
Generate clean, speaker‑attributed transcripts in a single API call.
👉 Explore technical documentation and tutorials: docs.pyannote.ai/tutorials/speech-to-text-diarization
