# Automated dubbing and facial synchronization using deep learning

> Automated dubbing and facial synchronization using deep learning is rendered on the Grayhat research archive from curated Grayhat publication metadata, with paper details sourced from 2022 2nd International Conference on Artificial Intelligence (ICAI) (2022).

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## Publication Details

- Authors: Saad A Bazaz, AbdurRehman Subhani, Syed ZA Hadi
- Year: 2022
- Venue: 2022 2nd International Conference on Artificial Intelligence (ICAI)
- Type: Paper
- Area: Applied Research
- Abstract: With the recent global boom in video content creation and consumption during the pandemic, linguistics remains the only barrier in producing immersive content for global communities. To solve this, content creators use a manual dubbing process, where voice actors are hired to produce a voiceover over the video. We aim to break down the language barrier and thus make videos for everyone. We propose an end-to-end architecture that automatically translates videos and produces synchronized dubbed voices using deep learning models, in a specified target language. Our architecture takes a modular approach, allowing the user to tweak each component or replace it with a better one. We present our results from said architecture, and describe possible future motivations to scale this to accommodate multiple languages and multiple use cases.

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