Turn-taking, the ability to know exactly when a user has finished speaking, is the invisible force behind natural human conversation. Yet most voice agents today rely on Voice Activity Detection (VAD) or fixed silence timers, leading to premature cut-offs or long, robotic pauses. We introduce state of the art NAMO Turn Detector v1 (NAMO-v1), an open-source, ONNX-optimized semantic turn detector model that predicts conversational boundaries by understanding meaning, not just silence. NAMO achiev

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