  In this work, we propose a joint system combining a talking face generation
system with a text-to-speech system that can generate multilingual talking face
videos from only the text input. Our system can synthesize natural multilingual
speeches while maintaining the vocal identity of the speaker, as well as lip
movements synchronized to the synthesized speech. We demonstrate the
generalization capabilities of our system by selecting four languages (Korean,
English, Japanese, and Chinese) each from a different language family. We also
compare the outputs of our talking face generation model to outputs of a prior
work that claims multilingual support. For our demo, we add a translation API
to the preprocessing stage and present it in the form of a neural dubber so
that users can utilize the multilingual property of our system more easily.
