TEN-framework/ten-turn-detection
A specialized model that detects conversation turn-taking signals in real-time dialogue for full-duplex AI communication systems.
Not currently ranked — collecting fresh signals.
star history
TEN Turn Detection is a model designed to detect when to take turns in conversational AI systems, enabling more natural full-duplex dialogue between humans and AI agents. Published on Hugging Face with model weights and inference code, it addresses a critical challenge in real-time conversational systems where knowing when to speak or interrupt is essential for natural interaction.
Frequently asked
- What is TEN-framework/ten-turn-detection?
- A specialized model that detects conversation turn-taking signals in real-time dialogue for full-duplex AI communication systems.
- Is ten-turn-detection open source?
- Yes — TEN-framework/ten-turn-detection is an open-source project tracked on heatdrop.
- What language is ten-turn-detection written in?
- TEN-framework/ten-turn-detection is primarily written in Python.
- How popular is ten-turn-detection?
- TEN-framework/ten-turn-detection has 594 stars on GitHub.
- Where can I find ten-turn-detection?
- TEN-framework/ten-turn-detection is on GitHub at https://github.com/TEN-framework/ten-turn-detection.