The tongue is arguably the most important articulator enabling human speech production. Current tagged MRI methods for studying internal tongue motion evolved from CINE cardiac techniques that rely on multiple repetitions with perfect synchronization. However, speech production, unlike cardiac motion, possesses great token, type and individual variability due to its voluntary, highly context-sensitive and information-encoding nature. In this work, we demonstrate tagged RT-MRI of speech production, without requiring any repetitions or synchronization for data re-binning. We demonstrate capture of several important tongue deformation patterns and their relative timing.