TurnNat introduces a likelihood-based automatic evaluation method for turn-taking naturalness in dyadic spoken dialogues using a causal prediction model and a human-validated perturbation benchmark.
Toward enabling natural conversation with older adults via the design of llm-powered voice agents that support interruptions and backchannels,
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TurnNat: Automatic Evaluation of Turn-Taking Naturalness in Dyadic Spoken Dialogue
TurnNat introduces a likelihood-based automatic evaluation method for turn-taking naturalness in dyadic spoken dialogues using a causal prediction model and a human-validated perturbation benchmark.