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Academic / AI Research Project
Video Dubbing with Lip Sync
Project Vision
Engineered an AI-powered video dubbing software that replaces the original audio in films, TV shows, or videos with a new soundtrack in a different language while maintaining lip synchronization. Leveraged deep learning models for facial landmark detection, speech-to-text conversion, neural machine translation, and text-to-speech synthesis to create seamless multilingual content.
Key Features & Innovations
Deep learning-based facial landmark detection
Neural machine translation for multilingual support
Text-to-speech synthesis with natural voice generation
Real-time lip synchronization with dubbed audio
Final Outcome
"Enabling seamless multilingual content creation with AI-powered lip sync"
Project Links
Built With
PythonDeep LearningComputer VisionNLPAI