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This survey paper evaluates real-time voice agents by proposing a taxonomy and a minimum reporting standard called TRG to address fragmentation across speech modeling, turn-taking, and agentic evaluation communities.
This paper introduces X2-Turn, a frame-synchronous dual-head model that jointly performs streaming ASR and turn state prediction on shared representations, improving turn-taking accuracy and latency in spoken dialogue systems.
This paper proposes a reference-based evaluation protocol for assessing prosody and rhythm in speech-to-speech AI systems, using matched human conversation data to provide interpretable behavioral plausibility checks.