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.
Full-duplex-bench v1. 5: Evaluating overlap handling for full-duplex speech models,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.