Real-time MRI (RT-MRI) captures movements and dynamic processes in the human body as they occur, without reliance on any repetition or synchronization. Many applications of RT-MRI require low-latency reconstruction for feedback or interventions (typically <200ms). Here, we investigate self-calibrating spiral Through-Time GRAPPA at 0.55T and compare its performance against viewsharing and constrained reconstruction methods. We use longer readouts, which can be used at low-field due to reduced off-resonance effects. We demonstrate RT-MRI of speech production with 13.09ms temporal resolution and 25ms reconstruction latency (after a 30s pre-computed calibration step).