Deep learning in automatic dubbing

Student: Yuriy Golubitskiy

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2024

This project delves into the application of deep learning methodologies in the field of automatic dubbing. The main goal of this initiative is to delve deeper into the application of neural networks to optimize duplication procedures. The project aims to solve problems inherent to content creators working in various multilingual environments. Using the power of artificial intelligence and deep learning algorithms, the project aims to pave the way for automated dubbing processes. Through research into different neural network models, the initiative aims to provide practical solutions to the challenges that arise when creating this type of content.

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