Improving Video Voice Dubbing Through Deep Learning- Google Developers Blog

This post details the use of deep learning for video voice dubbing, employing techniques like sequence-to-sequence models with attention mechanisms to align audio and video streams, and using diffusion models to generate natural-sounding speech that matches the original speaker's prosody and emotion. The system leverages large language models for text-to-speech synthesis and fine-tuning for specific voice characteristics.