TurnTurk-GPT predicts Turkish turn-taking from unpunctuated text
The fine-tuned Turkish GPT-2 beats a multilingual detector, but ties a zero-shot model on unseen speakers.
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The fine-tuned Turkish GPT-2 beats a multilingual detector, but ties a zero-shot model on unseen speakers.
DyaFDB scores both sides of 7,560 full-duplex model conversations instead of using a fixed examiner.
HiPLEX factorizes full-duplex speech policies so reinforcement learning can improve timing and content separately.
ECHO benchmark pairs identical-overlap Chinese dialogue examples with contrasting contexts, revealing most full-duplex systems bias toward yielding the floor.
MP-Bench is the first benchmark for voice agents in multiparty conversations, finding real-time agents near chance on turn-taking.
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