Rhythm plays a crucial role in speech perception, and has been at the core of current predictive coding and neural oscillatory approaches. Particularly, the recruitment of the motor system has been related to rhythm processing through temporal predictions, and neural coupling between auditory and motor brain areas has been observed during speech perception. In this research area, we investigate the functional relevance of brain rhythms in speech segmentation by extending neural oscillatory models of speech segmentation to incorporate top-down predictions from the motor system.