end-of-turn detection

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papersSEP 12 04:00 UTC

Ablation Study Examines Which Speech Cues Drive End-of-Turn Detection

A new arXiv paper investigates how much different aspects of speech contribute to detecting when a speaker has finished their turn in a conversation. The authors run a controlled ablation of a conversational system to separate the relative weight of each modality, noting that the role of semantics versus other cues is still poorly understood. The work targets more natural turn-taking in conversational AI.

speech/turn-taking/conversational-ai/research