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TEN Turn Detection GGUF

Developed by Mungert
TEN Turn Detection is an advanced intelligent dialogue turn detection model designed for natural and dynamic communication between humans and AI.
Downloads 805
Release Time : 6/7/2025

Model Overview

This model can accurately detect turn transition signals in natural dialogues, support a context-based interruption mechanism, and effectively improve the naturalness of human-computer dialogue.

Model Features

Context-aware turn management
By analyzing language patterns and semantic context, accurately identify the completion point of dialogue turns and intelligently handle interruption situations.
Multilingual turn detection support
Fully support both Chinese and English languages, and accurately identify turn transition signals and completion signals in multilingual dialogues.
Excellent performance
Compared with multiple open-source solutions, TEN performs excellently in all indicators on the public test dataset.

Model Capabilities

Dialogue turn detection
Multilingual support
Context awareness

Use Cases

Human-computer dialogue
Intelligent customer service
Used in intelligent customer service systems to improve the naturalness and fluency of dialogue.
Reduce awkward interruptions and keep the dialogue flowing.
Voice assistant
Used in voice assistants to optimize dialogue turn transitions.
Create a more natural dialogue dynamic.
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