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.