In this project, we learn neural implicit representations for talking human faces. We model the 4D face geometry and appearance using neural radiance fields (NeRFs). Our goal is to synthesize high-quality talking face videos. We focus on two main applications: (a) lip synchronization, where the synthesized face follows a target audio, and (b) facial expression transfer, where the synthesized face follows target expressions.