TRAVID: An End-to-End Video Translation Framework

TL;DR

TRAVID is an end-to-end video translation system that translates speech, synchronizes lip movements, and uses voice cloning to improve immersive learning experiences in multilingual educational contexts.

Contribution

It introduces a novel system that combines speech translation, lip synchronization, and voice cloning for effective multilingual video education.

Findings

Effective translation with lip-sync in low-resource settings

Enhanced learning experience through synchronized lip movements

Successful application in Indian language educational videos

Abstract

In today's globalized world, effective communication with people from diverse linguistic backgrounds has become increasingly crucial. While traditional methods of language translation, such as written text or voice-only translations, can accomplish the task, they often fail to capture the complete context and nuanced information conveyed through nonverbal cues like facial expressions and lip movements. In this paper, we present an end-to-end video translation system that not only translates spoken language but also synchronizes the translated speech with the lip movements of the speaker. Our system focuses on translating educational lectures in various Indian languages, and it is designed to be effective even in low-resource system settings. By incorporating lip movements that align with the target language and matching them with the speaker's voice using voice cloning techniques, our application offers an enhanced experience for students and users. This additional feature creates a more immersive and realistic learning environment, ultimately making the learning process more effective and engaging.