Talking Face Generation with Multilingual TTS
This work addresses the need for accessible multilingual video synthesis tools, though it appears incremental by building on existing talking face and TTS methods.
The authors tackled the problem of generating multilingual talking face videos from text input, achieving synchronized lip movements and maintaining speaker vocal identity across four languages from different language families.
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.