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T

livekit/turn-detector

Text Classification·livekit· 661.6K· 114
transformers other 134.5M params

An open-weights language model for contextually-aware end-of-utterance (EOU) detection in voice AI applications. The model predicts whether a user has finished speaking based on the semantic content of their transcribed speech, providing a critical complement to voice activity detection (VAD) systems.

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# pull & run locally
pip install mlforge-sdk && mlforge pull livekit/turn-detector

Model details

Task
Text Classification
Provider
livekit
Framework
transformers
Parameters
134.5M
Size
27 GB
License
other
Downloads
661.6K
Likes
114
Updated
2026-02-11

About livekit/turn-detector

An open-weights language model for contextually-aware end-of-utterance (EOU) detection in voice AI applications. The model predicts whether a user has finished speaking based on the semantic content of their transcribed speech, providing a critical complement to voice activity detection (VAD) systems.

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