In the news
ECHO: A Matched-Contrast Benchmark for Context-Sensitive Turn-Taking in Full-Duplex Dialogue
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- ECHO is a Chinese dialogue benchmark for testing full-duplex systems on context-sensitive turn-taking decisions between yielding and continuing speech.
- Why it matters
- Matters for engineers building conversational AI that handles overlapping speech and must distinguish interruptions from backchannels in real dialogue.
- Watch out
- Benchmark is Chinese-language only. Existing systems show strong yield bias, suggesting interruption-only evaluation may mask practical reliability problems.
- eval
- benchmark
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