TransLip: AI-Driven Video Translation and Synchronization

The increasing need for region-specific digital content has spurred progress in technologies like video translation and lip synchronization. This work introduces an innovative system for converting video and audio from English into Malayalam, a regional language while achieving precise lip synchronization. The process involves extracting audio and converting speech to text, translating the text and generating speech in the target language. The synchronized audio is then aligned with the speaker’s lip movements using the Generative Adversarial Network(GAN) powered Wav2Lip model. The result is a cohesive video where the translated audio and lip movement are in harmony, delivering a lifelike and engaging experience for viewers. This approach offers substantial benefits in sectors like entertainment, education, and media localization, broadening access to content while upholding the integrity of the original material.