turn-detector

turn-detector is a text classification model from LiveKit that identifies speaker turn boundaries in conversational audio transcripts. It's designed for real-time voice applications where you need to know who is speaking and when, which is essential for diarization, transcription alignment, and latency-sensitive voice agents. The model works with standard Hugging Face transformers pipelines, making it easy to integrate into existing Python or Node.js voice stacks. Unlike full diarization models that cluster embeddings over long windows, turn-detector operates per-token or per-segment, so it trades global speaker consistency for faster, incremental decisions. This makes it a good fit for live streaming scenarios, but you should validate its accuracy on your target domain and audio quality before production deployment. Always review the model card and license (listed as 'other') to ensure it meets your compliance and usage requirements.